Machine Learning Engineer, AI Assistant & Autonomous AI Agents

Enterprise AI Assistants & Autonomous AI Agents

LLM
Agentic AI
Reinforcement Learning
Machine Learning Engineering
NLP
LLM Orchestration
Evaluation Frameworks
Fine-tuning
Memory Augmented LLMs

Die Rolle ist klar auf die Entwicklung und Optimierung von LLM-basierten Agenten, Reinforcement Learning, Evaluationsrahmen und agilen Architekturen ausgerichtet. KI ist der überwiegende Kern der Tätigkeit, sowohl in Forschung als auch in Produktionsumgebung.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean…


Manager, Machine Learning Research Scientist, GenAI

Generative AI, Machine Learning Research, Agent Systems

Machine Learning
Generative AI
Research Science
Deep Learning
Agent/RL Systems
Evaluation Methodologies
Post-Training
Agentic/RL Environments
Large Language Models

Die Rolle ist eindeutig auf führende Forschung in KI, insbesondere in Generative AI, Agenten und RL-Systemen ausgerichtet. Die Aufgaben beinhalten die Leitung einer Forschungsgruppe, die Entwicklung von Forschungsroadmaps und die Umsetzung von Prototypen in realen Anwendungen. Die Anforderungen beinhalten Erfahrung in führenden ML/AI-Forschungsfeldern und Veröffentlichungen in Top-Konferenzen.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL…


Staff Machine Learning Research Scientist, LLM Evals

Generative AI, LLM Evaluation, AI Research

Machine Learning
Large Language Models (LLMs)
NLP
Transformer Modeling
Evaluation Methodologies
Benchmarking
ML Research
MLOps
Reproducible Pipelines
AI Research Publication

Die Rolle ist zentral auf die Entwicklung und Forschung von Evaluationsmethoden fuer LLMs ausgerichtet. Die Aufgaben beinhalten die Gestaltung von Benchmarks, die Entwicklung von Metriken, die Implementierung skalierbarer Pipelines und die Veröffentlichung von Forschungsergebnissen in führenden AI-Konferenzen. KI/AI/ML ist der überwiegende Kern der Rolle.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Res…


Principal Machine Learning Engineer, App SW

Autonomous Driving, Embodied AI, Deep Learning, Robotics

Machine Learning
Deep Learning
Model Architecture
Data Pipelines
Evaluation Frameworks
Real-world Deployment
MLOps
PyTorch
Python
C++
CUDA
Robotics

Die Rolle eines Principal ML Engineers bei Wayve ist klar auf die Entwicklung und Bereitstellung leistungsstarker, robusten und generalisierbaren ML-Modelle für autonome Fahrzeuge ausgerichtet. Die Aufgaben umfassen die gesamte Kette von Modellarchitektur, Datapipelines, Evaluationsframeworks bis hin zur realen Deployment. Die Anforderungen beinhalten Expertise in Deep Learning, Robotics, Simulation und spezifische Anwendungen wie Personalisierung, Komfortsteuerung und Nutzerausrichtung. Dies ist eindeutig eine KI-kernbasierte Rolle.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace un…


Sr. Machine Learning Engineer

Machine Learning
LLM (Large Language Models)
GenAI (Generative AI)
Fine-tuning
Prompt Engineering
RAG (Retrieval-Augmented Generation)
MLOps
Model Deployment
Python
TensorFlow
PyTorch

Die Rolle eines Senior Machine Learning Engineers bei Databricks ist stark auf die Entwicklung und Bereitstellung von GenAI-Produkten ausgerichtet. Die Aufgaben beinhalten die Entwicklung von LLMs, die Gestaltung von AI-Features, die Erstellung von ML-Pipelines und die Zusammenarbeit mit Forschern und Produktteams. KI ist der überwiegende Kern der Rolle.

P-1131 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products con…


Machine Learning
Deep Learning
TensorFlow
PyTorch
PaddlePaddle
MLOps
Data Science
System Architecture
C++
Performance Optimization
Distributed Systems

The role explicitly focuses on architecting machine learning systems, building distributed AI training systems, and optimizing hardware/software for ML products. The qualifications heavily emphasize ML experience and knowledge.

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in AI industry and the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on AI industry? We’re looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system. Description We are looking for a world-class Machine Learning System Software Architect to join our SoC team at Baidu’s Sunnyvale office. The successful candidate will be a mo…


Machine Learning System Hardware Architect

Machine Learning
Deep Learning
TensorFlow
PyTorch
PaddlePaddle
MLOps
Computer Architecture
Hardware Acceleration
SoC Design
Performance Optimization
C++
Data Science

The role explicitly focuses on architecting hardware solutions for machine learning, including silicon and system design for AI training. The job description heavily emphasizes ML frameworks, performance optimization, and AI technologies.

Do you want to be part of the AI revolution? Do you want to think out of the box, thriving on challenges in the AI industry and the desire to solve them? Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on the AI industry? We’re looking forward to you joining us to collaborate, contribute, and revolutionize AI silicon and system. Description We are looking for a world-class Machine Learning System Architect (HW) to join our SoC team at Baidu’s Sunnyvale office. The successful candidate will be…


AI Solutions Architect

LLM
Prompt Engineering
Fine-tuning
LangChain
Llama Index
GenAI
Data Science
Data Engineering
Machine Learning
Graph Databases
Cypher
AI Orchestration

The role explicitly focuses on designing, developing, and deploying AI solutions leveraging graph databases and LLMs. The required qualifications heavily emphasize LLM experience, AI orchestration frameworks, and data science/engineering skills. The core responsibilities are centered around AI solution architecture and engineering.

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integr…


Principal Data Scientist - Agent Builder

Search AI, Conversational AI, Agentic AI

Data Science
Machine Learning
NLP
LLM
RAG
Vector Search
Evaluation Metrics
Experiment Design
Statistical Analysis
Model Comparison
MLOps

The role is fundamentally focused on building, evaluating, and improving AI-powered conversational and agentic search experiences. The core responsibilities revolve around data science, machine learning, and LLM technologies.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, secu…


Search AI, Conversational AI, Agentic Systems


Data Science
Machine Learning
NLP
LLM
RAG
Vector Search
Evaluation Metrics
Experiment Design
Statistical Analysis
Python
PyTorch
Elasticsearch

The role is fundamentally focused on building, evaluating, and improving an agentic platform powered by LLMs and RAG. The core responsibilities revolve around data science, machine learning, and NLP techniques to enhance chat quality and drive product decisions. The job description explicitly mentions key AI concepts and technologies.


The role is fundamentally focused on building, evaluating, and improving AI-powered conversational and agentic search experiences. The job description explicitly centers around RAG, LLMs, evaluation methodologies, and productionizing AI systems.


Elastic AI Engineer

Generative AI, Agentic Systems, Search AI

LLM
RAG
Elasticsearch
LangChain
LangGraph
LangSmith
GenAI
Agentic Workflows
Python
TypeScript
Kubernetes
Docker

The role is explicitly focused on building and deploying agentic workflows powered by LLMs and the Elastic Stack. The job description heavily emphasizes AI/ML concepts like RAG, ESRE, and autonomous task completion. The required skills are almost entirely AI/ML related.


Elastic AI Engineer

LLM
RAG
Elasticsearch
LangChain
LangGraph
LangSmith
GenAI
NLP
Agentic Workflows
Model Context Protocol
Multi-Agent Orchestration

The role is explicitly focused on building and deploying agentic workflows powered by LLMs, RAG, and the Elastic Stack. The job description heavily emphasizes AI/ML concepts and their application to solve business problems.


The role is fundamentally focused on building, evaluating, and improving AI-powered conversational and agentic search experiences. The job description explicitly mentions core AI/ML concepts like RAG, LLMs, vector search, and evaluation methodologies. The primary responsibilities revolve around AI model selection, quality metrics, and productionizing AI systems.


Applied AI Engineer

Machine Learning
LLM
Python
Data Modeling
MLOps
Data Science
RAG
Snowpark
AI Agents
GenAI

The role explicitly focuses on building and deploying enterprise-grade AI solutions, including AI agents and LLM applications. The job description heavily emphasizes hands-on work with AI/ML models, pipelines, and the Snowflake AI platform. The candidate is expected to be a technical expert in AI and advise customers on leveraging AI for their business challenges.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more…


AI Engineer - Database Engineering

AI Engineering
LLM
Prompt Engineering
Machine Learning
Python
Data Engineering
Data Modeling
Evaluation Frameworks
MLOps

The role explicitly focuses on building AI-powered features within Snowflake's core database engine, including agentic workflows, context engineering, and evaluation pipelines. The requirements and 'nice to have' sections heavily emphasize AI/ML experience and skills. The job description clearly states an 'AI-forward approach' and ownership of the entire AI engineering lifecycle.


Senior Software Engineer — LLM Post-Training Platform

LLM
Machine Learning
MLOps
Deep Learning
PyTorch
CUDA
Kubernetes
Data Science
Distributed Systems
GPU Computing
Ray
vLLM

The role is explicitly focused on building and scaling an LLM post-training platform (Cortex Training). The job description heavily emphasizes LLMs, GPU infrastructure, and ML systems, indicating a core AI/ML function.


Staff Applied AI Engineer (Forward Deployed Engineer)

LLMs
RAG
MLOps
Machine Learning
Data Science
AI Pipelines
Agentic Workflows
Model Deployment
Model Monitoring

The role explicitly focuses on leading AI programs, building and productionizing LLM applications, and working with AI pipelines. The description heavily emphasizes hands-on technical work with AI/ML technologies and leading a team focused on AI delivery.


Senior Data Scientist

Machine Learning
Time-Series Analysis
Statistical Modeling
Probabilistic Modeling
Python
SQL
Data Science
Forecasting
Model Evaluation
MLOps

The role explicitly focuses on building and deploying production-grade ML/statistical systems for forecasting, a core data science task. The description details advanced modeling techniques and a strong emphasis on ML and statistical research.


Senior/Staff Software Engineer - Machine Learning Platform (Inference)

Machine Learning
Deep Learning
LLM
MLOps
Inference
PyTorch
TensorFlow
MLflow
Data Science
PEFT
DPO
RL

The role is explicitly focused on building and scaling a machine learning platform, specifically for inference and LLM workloads. The responsibilities and requirements heavily emphasize ML systems, frameworks, and serving infrastructure. The company is actively investing in AI and positions this role as central to their AI strategy.


Senior AI Engineer - Cortex Code

AI Engineering
Machine Learning
LLM
Prompt Engineering
Python
Data Science
Model Evaluation
MLOps
Data Modeling
RAG
Agentic Workflows

The role explicitly focuses on building and owning AI features in production, specifically coding agents for data. The description details tasks like prompt engineering, model evaluation, and building agentic workflows, indicating a core AI/ML focus.


Principal /Staff AI Engineer - Cortex Code Agentic System

Generative AI, Agentic AI, LLM Applications

AI/ML
LLM
Agentic Systems
Data Science
Python
TypeScript
Go
MLOps
Experimentation
Prompt Engineering
Data Engineering
RAG

The role is explicitly focused on building and scaling agentic systems powered by LLMs. The responsibilities center around AI/ML model evaluation, experimentation, and production deployment. The job description heavily emphasizes AI-specific skills and experience.


Forward Deployed AI Engineer

LLM
GenAI
AI Strategy
AI Implementation
MLOps
Data Science
Workflow Automation

The role explicitly focuses on building and deploying GenAI workflows, owning AI strategy, and implementing AI solutions for clients. The description highlights hands-on AI work and contribution to the Palantir AIP product suite, indicating a core AI function.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have am…


Forward Deployed AI Engineer


Agentic AI Engineer — Healthcare AI

AI
LLM
Agentic AI
Healthcare AI
Machine Learning
Python

The job title and company explicitly focus on AI within the healthcare domain. The description implies a core focus on building and implementing AI solutions.


Principal Agentic AI Engineer / Architect at AI CoE (f/m/d)

The job title explicitly mentions 'AI Engineer / Architect' within an 'AI CoE'. The focus on 'Agentic AI' indicates a core AI development role.


Data Scientist

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Experimentation
Propensity Modeling
Segmentation
Data Visualization

The role explicitly requires a Data Scientist to perform advanced analytics, build models, and derive insights from customer data to drive business growth. The focus is heavily on applying data science techniques to solve business problems.

Role Description We're looking for a Data Scientist to partner with product , engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insight s . An i deal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns , monetization a…


Data Scientist


Senior Data Scientist, AI Products

Data Science
Machine Learning
AI
Data Analysis
Experiment Design
Statistical Modeling

The role is explicitly focused on building and scaling AI/ML capabilities, driving AI/ML impact, and leveraging data science for product development. The responsibilities center around data analysis, model building, and influencing product roadmaps with data-driven insights.

Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox’s AI-first journey? As a Senior Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team , you’ll partner…


Senior Data Scientist, AI Products


Software Engineer, Machine Learning

Machine Learning
Data Pipelines
Model Deployment
Python
PyTorch
TensorFlow
Scikit-learn
NLP
RAG
MLOps
Data Annotation

The role explicitly focuses on building and productionizing ML models, data pipelines, and AI-powered features. The job description details tasks directly related to core AI/ML engineering.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is seeking a versatile and experienced Machine Learning / AI Engineer to…


Support AI Engineer

LLM
AI
Machine Learning
AI Automation
AI Workflows
RAG
AI Observability
NLP

The role explicitly focuses on building and operationalizing AI-powered workflows for customer support, integrating LLMs, and using AI to improve support experiences. The job description heavily emphasizes AI/ML tasks.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is evolving the Product Support experience, powered by AI, automation, an…


Data Scientist, Core Data - PhD (2026)

Machine Learning
Data Science
Statistical Modeling
Causal Inference
Experimentation
A/B Testing
Python
SQL
LLM Analytics

The role explicitly focuses on building data science platforms, experimentation frameworks, and applying machine learning to analytical systems. The job description highlights the development of AI tooling and measurement of AI-powered features. PhD level research is expected.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for a research-minded Data Scientist to join the Core Data team.…


Software Engineer, AI Product

Machine Learning
Generative AI
Data Analysis
NLP
AI Product Development
MLOps

The role explicitly focuses on building and leading AI products, specifically generative AI, and requires experience in the full lifecycle of AI development. The description highlights collaboration with an AI Research team and a focus on AI performance and relevance.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Figma’s customer base continues to expand and diversify, and new technologic…


Research Scientist: Multilingual, Multicultural and Multimodal LLM

Large Language Models
LLM
Multilingual NLP
Multimodal Learning
Deep Learning
Natural Language Processing
Computer Vision
Speech Processing
Machine Learning
JAX
TensorFlow
PyTorch

The role explicitly focuses on research and development of multilingual, multicultural, and multimodal LLMs (Gemini). The core responsibilities are directly related to AI/ML model development and evaluation. The job description emphasizes a strong research background in AI and related fields.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires a…


Staff AI Product Designer, Gemini Assistant

Machine Learning
LLMs
Generative AI
Natural Language Processing
AI Product Design
AI Ethics
AI Interactions
AI-powered interfaces

The role is explicitly focused on designing AI experiences for a leading AI assistant (Gemini). The responsibilities and qualifications heavily emphasize AI-specific design skills, understanding of AI models, and ethical considerations. The core function is to shape how users interact with AI.

Snapshot The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We're building innovative ways for people to get things done & enrich their lives. Our Design team is dedicated to developing the world's useful generative AI experiences. About Us At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, cr…


Staff AI Product Designer, Gemini Assistant, GeminiApp

Mountain View, California, US, New York City, New York, US, San Francisco, California, US, Seattle, Washington, US

Generative AI, Conversational AI, User Interfaces

LLM
AI
Machine Learning
Generative AI
Natural Language Processing
AI Product Design
AI Ethics
AI Interaction Design

The role is explicitly focused on designing AI experiences (Gemini Assistant), with a strong emphasis on LLMs, generative AI, and AI interactions. The responsibilities and qualifications heavily center around AI-specific design challenges and understanding of AI technologies.


Staff AI Product Designer, Growth & Discovery, GeminiApp

Mountain View, California, US, San Francisco, California, US

Generative AI, Conversational AI, User Interface Design

Machine Learning
LLMs
Generative AI
Natural Language Processing
AI Product Design
AI Ethics
AI Interaction Design
Data-Driven Design

The role explicitly focuses on designing AI experiences (Gemini), with a strong emphasis on LLMs, generative AI, and natural language processing. The responsibilities and qualifications heavily center around AI-powered interfaces and interactions. The candidate will be shaping how users interact with AI models.

About Us At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. We're a world-leading AI research company, pushing the boundaries of what's possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We're committed to developing AI responsibly…


Machine Learning Engineer

Machine Learning
Deep Learning
PyTorch
Data Pipelines
Model Architecture
Model Deployment
Data Science
Computer Vision
Simulation
Trajectory Prediction
Imitation Learning

The role explicitly focuses on developing and deploying machine learning models for autonomous driving, covering model architecture, data pipelines, and real-world deployment. The job description heavily emphasizes AI/ML expertise and its application to core driving functionalities.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace un…


Machine Learning Engineer, App SW

Machine Learning
Deep Learning
PyTorch
Data Pipelines
Model Architecture
MLOps
Computer Vision
Data Science
Simulation
Trajectory Prediction
Imitation Learning
NLP

The role is explicitly focused on developing and improving machine learning models for autonomous driving, covering model architecture, data pipelines, evaluation, and deployment. The responsibilities and required skills are heavily centered around AI/ML techniques.


Machine Learning Engineer, AV Engineering

Machine Learning
Deep Learning
Data Mining
Data Curation
Model Training
Model Evaluation
Reinforcement Learning
Transformer Networks
PyTorch
MLOps

The role explicitly focuses on developing and training AI models for autonomous driving (L2-L4), owning the entire ML lifecycle, and deploying these models into vehicles. The core responsibilities are heavily centered around AI/ML tasks.


Staff Machine Learning Engineer, AV Core

Machine Learning
Deep Learning
PyTorch
Transformers
Multimodal Architectures
Vision-Language Models
Data Science
Model Training
Model Deployment
Representation Learning
MLOps

The role is explicitly focused on developing and deploying machine learning models for autonomous driving, including core safety features. The job description heavily emphasizes ML engineering, model training, and experience with relevant architectures (transformers, VLMs).


Tech Lead, ML Engineer - AV Product engineering

Machine Learning
Deep Learning
PyTorch
Computer Vision
NLP
Transformer Networks
MLOps
Data Science
End-to-End Learning
Model Training
Model Deployment

The role is explicitly focused on leading the machine learning workstream for an autonomous driving system, encompassing model training, deployment, and technical vision. The required skills and experience heavily emphasize ML engineering and deep learning.


Machine Learning Engineer, App SW

Machine Learning
Deep Learning
PyTorch
Data Pipelines
Model Architecture
Model Deployment
Data Science
Computer Vision
Simulation
MLOps

The role explicitly focuses on developing and deploying machine learning models for autonomous driving, encompassing model architecture, data pipelines, and real-world deployment. The responsibilities and required skills are heavily centered around AI/ML techniques.


Senior Software Engineer, Go - LLM Team

LLM
Prompt Engineering
AI APIs
Machine Learning
Data Science
AI Agents

The role is explicitly focused on building and maintaining an LLM gateway service, integrating with multiple LLM providers, and optimizing LLM performance. The job description heavily emphasizes LLM-specific skills and experience.

Why AssemblyAI AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry. We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most rev…


Product Manager, AI Research

Machine Learning
LLM
AI Research
MLOps
Data Science
Model Evaluation
AI Strategy
Generative AI

The role is explicitly focused on leading AI research and enablement, balancing research investment, owning evals strategy, and integrating AI models into a product. The job description heavily emphasizes AI/ML/LLM technologies and their application to the core product.

Descript’s vision is to put video in every communicator’s toolkit. Back in the day you needed like six monitors and a bachelor’s degree to edit video. Descript lets you do it by editing docs & slides, and increasingly by just asking AI. In the future, maybe you won’t even need to ask! But building a new way to record or generate (or both!) videos that look & sound good comes with a series of unique design, technology, and business challenges. In other words, we need really good product managers. We’re looking for a Product Manager to help build the futu…


Senior Data Scientist - AI Tooling

Generative AI, Customer Experience, GTM Tools

LLM
ML
RAG
Prompt Engineering
Vector Search
Python
Data Modeling
Data Science
Machine Learning
SQL

The role explicitly focuses on designing, evaluating, and shipping AI-powered internal tools, with a strong emphasis on LLMs and ML applications. The job description details specific AI/ML tasks and requires experience with relevant technologies.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system…


Senior Machine Learning Scientist

Machine Learning
Deep Learning
NLP
Data Analysis
Algorithm Research
Model Evaluation
MLOps
Data Science
Statistical Modeling

The role is explicitly focused on defining, researching, and deploying ML features and models. The description highlights a strong emphasis on ML productization and customer impact. The required and bonus skills clearly indicate a core AI/ML role.


Senior Machine Learning Scientist

Machine Learning
Deep Learning
NLP
Clustering
Transformer Networks
Data Analysis
Experiment Design
Statistical Modeling
MLOps

The role is explicitly focused on defining, researching, and deploying machine learning features for a core AI product (Fin - AI Customer Agent). The job description heavily emphasizes ML algorithms, model evaluation, and productionization.


Senior Machine Learning Scientist

Generative AI, Customer Support, Machine Learning

Machine Learning
Deep Learning
NLP
Data Analysis
Algorithm Research
Model Evaluation
MLOps
Statistical Modeling
Experiment Design

The role is explicitly focused on building and deploying machine learning models for a core AI product (Fin - AI Customer Agent). The job description details tasks such as identifying ML opportunities, researching algorithms, conducting data analysis, and bringing prototypes to production. The emphasis on ML is overwhelming.


Staff AI Product Manager

AI/ML
Generative AI
Machine Learning
MLOps
Prompt Engineering
Data Science
AI Product Management

The role is explicitly focused on leading the product strategy for core AI systems and AI features within an AI-driven customer agent company. The job description heavily emphasizes AI/ML expertise, model understanding, and building AI products.


Staff AI Product Manager

Machine Learning
AI
Generative AI
MLOps
NLP
Data Science
Prompt Engineering
Model Evaluation

The role is explicitly focused on leading AI product strategy, roadmap, and development for a core AI platform and agent. The job description heavily emphasizes technical AI understanding, collaboration with AI scientists/engineers, and shipping AI products. It's a central AI role.


Staff Machine Learning Scientist

Machine Learning
Deep Learning
NLP
Data Analysis
Algorithm Research
Model Evaluation
MLOps
Data Science
Python
SQL

The role is explicitly focused on machine learning for a core AI product (Fin AI Agent). The job description details research, development, and deployment of ML models, with a strong emphasis on product impact. The candidate will be a technical leader in an ML team.


Staff Machine Learning Scientist

Generative AI, Customer Support Automation

The role is explicitly focused on building and deploying machine learning models to power the core product (Fin AI Agent). The description details research, development, and productionization of ML features, algorithms, and models. The team is 'ML focused' and the skills requested are heavily weighted towards ML expertise.


AI Engineer - Public Sector

Generative AI, Data Transformation, Public Sector

LLMs
RAG
Agentic Systems
Python
Machine Learning
Data Pipelines
NLP
Computer Vision
Vector Databases
Embedding Models
Model Evaluation
MLOps

The role is explicitly focused on building and deploying AI solutions (RAG pipelines, agentic systems) for government clients. The job description heavily emphasizes AI/ML technologies and their application to real-world problems. A significant portion of the work (80-100%) is directly related to AI/ML development and deployment.

Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM. Our open-source toolkit has been downloaded 61M+ times and is used by 90% of the Fortune 1000. We power production AI workflows across commercial and federal sectors — transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale. We're not just building tool…


Multimodal LLM Researcher (MLLM)

LLM
VLM
Audio LM
Deep Learning
Generative Models
Diffusion Models
PyTorch
TensorFlow
Data Curation
MLOps
NLP
Computer Vision

The role explicitly focuses on research and development of multimodal LLMs, VLMs, and audio LMs. The job description heavily emphasizes AI/ML techniques, model training, and deployment. The core responsibilities are deeply rooted in AI research and engineering.

MULTIMODAL LLM RESEARCHER (MLLM) ABOUT THE ROLE At Pika, we are pioneering next-generation creative infrastructure built around real-time, multimodal generation and intelligent, agentic platforms. We are seeking accomplished Multimodal LLM Researchers (LLM, VLM, and Audio LM) to drive forward our mission to make agentic real-time generative technology accessible, dynamic, and transformative for millions of creators. As a core member of our research team, you will be integral to designing and building foundational technologies, developing novel approache…


AI Researcher (Multimodal Audio/Video Generation)

Generative Models
Diffusion Models
Audio Generation
Video Generation
Multimodal Learning
Neural Networks
PyTorch
MLOps
Computer Vision
NLP

The role explicitly focuses on leading research in audio-visual avatar generation using generative models like diffusion models. The job description details tasks directly related to AI/ML model design, training, and deployment. The required skills and experience are heavily weighted towards AI research and development.

ABOUT US Tavus https://www.tavus.io/ is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms. Imagine a therapist…


Applied AI Engineer - Federal (TS Required)

Machine Learning
Gen AI
LLM
RAG
Prompt Engineering
Python
Data Science
MLOps
Natural Language Processing
Computer Vision
Data Modeling
Data Analysis

The role explicitly focuses on building and deploying AI/ML solutions for customers, with a strong emphasis on GenAI, RAG, and LLMs. The responsibilities and qualifications are heavily centered around AI technologies and data science practices.

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the…


Software Engineer, Machine Learning

Machine Learning
Natural Language Processing
LLM
Data Science
Model Training
Data Analysis
Search
Recommendation Systems
MLOps

The role explicitly focuses on building and improving core AI components like search engines, language models, and ranking systems. The tasks listed are heavily centered around ML model development, training, and deployment.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean…


Machine Learning Engineer, Enterprise Brain

Mountain View, CA (HQ), San Francisco, CA

Machine Learning
LLM
Natural Language Processing
Reinforcement Learning
Data Science
MLOps
Model Evaluation
ML Pipelines
Agent Orchestration
Knowledge Graphs

The role explicitly focuses on building and improving AI-powered products (Enterprise Brain) using LLMs, ML techniques, and agent orchestration. The tasks are heavily centered around core AI/ML engineering principles.


Machine Learning Engineer, LLM Evals & Observability

Machine Learning
LLM
LLM Evaluation
Natural Language Processing
Data Pipelines
Python
Go
MLOps

The role is explicitly focused on building and maintaining systems for evaluating and improving LLM-powered AI assistants and agents. The tasks directly involve ML models, evaluation pipelines, and LLM-powered judges.


Machine Learning
LLM
LLM Evaluation
Natural Language Processing
Data Pipelines
Python
Go
Reinforcement Learning
MLOps


Machine Learning Engineer, Search Quality

Machine Learning
Natural Language Processing
LLM
Data Science
Model Training
Search
Recommendation Systems
Python

The role explicitly focuses on building and improving core AI components of a search engine, including model training, language model adaptation, and combining LLMs with search. The tasks are heavily centered around AI/ML techniques.


Senior AI Product Engineer, Backend

Machine Learning
LLM
Data Science
MLOps
Python
Go
API Development
Data Pipelines
Dimensionality Reduction
OLAP

The role is explicitly focused on building the backend infrastructure for an AI observability platform, with direct involvement in ML/LLM workflows, model evaluation, and data pipelines. The job description consistently references AI, LLMs, and machine learning.

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier invest…


Forward Deployed AI Engineer, EMEA

MLOps
Generative AI
Python
Java
TypeScript
Docker
Kubernetes
AI Observability
AI Evaluation

The role explicitly focuses on building and scaling GenAI observability and evaluation programs for clients, requiring deep AI expertise and MLOps experience. The company itself is an AI observability platform.


Forward Deployed AI Engineer, East

MLOps
Generative AI
Python
Java
TypeScript
AI Observability
AI Evaluation

The role explicitly focuses on designing, implementing, and scaling GenAI observability and evaluation programs for clients. The job description heavily emphasizes AI/ML engineering, MLOps, and working with AI applications in production. The company itself is an AI observability platform.


Forward Deployed AI Engineer, West


Machine Learning Scientist (All Levels)

Machine Learning
Natural Language Processing
Deep Learning
LLM
Generative AI
Data Science
MLOps
PyTorch
TensorFlow
Jax
NLP

The role explicitly focuses on advancing medical NLP, building and deploying ML models, and conducting research in areas directly related to AI. The description emphasizes the core AI/ML components of the position.

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summar…


Machine Learning Infrastructure Engineer- Model Inference

Machine Learning
Model Deployment
Kubernetes
MLOps
PyTorch
TensorFlow
GPU Optimization
LLM
GenAI
Model Inference
NVIDIA Triton Server
VLLM

The role is explicitly focused on building and optimizing the infrastructure for deploying and scaling machine learning models, specifically for an AI-powered healthcare platform. The job description heavily emphasizes AI/ML technologies and their application to the company's core product.


Software Engineer, GenAI

LLM
LangChain
LlamaIndex
Prompt Engineering
Retrieval Systems
Vector Databases
Agentic Workflows
Model Evaluation
A/B Testing
Python
MLOps

The role is explicitly focused on designing, building, and evaluating LLM-powered systems for a core healthcare application. The job description heavily emphasizes LLM APIs, agentic workflows, and model evaluation, indicating a primary focus on AI/ML.


Software Engineer, Gen AI Platform

LLM
GenAI
Machine Learning
NLP
Prompt Engineering
LangChain
LlamaIndex
Vector Databases
Agentic Workflows
MLOps

The role is explicitly focused on building and scaling a GenAI platform for healthcare, with core responsibilities revolving around LLMs, agent orchestration, and evaluation. The job description heavily emphasizes AI/ML concepts and technologies.


Senior Research Data Scientist

Data Science
Machine Learning
NLP
Data Pipelines
Data Analysis
Statistical Modeling
Evaluation Metrics
Causal Inference
Data Engineering

The role is explicitly focused on evaluating and improving AI-powered healthcare products, building data infrastructure for AI research, and conducting research on the impact of AI in clinical settings. The core responsibilities revolve around AI/ML models and their application in healthcare.


AI Engineer, Model Quality and Performance

AI agents
Machine Learning
LLM
Data Science
Model Evaluation
Performance Tuning
Automation
Statistical Analysis

The role is entirely focused on building AI-driven systems for model quality, performance evaluation, and automation. The core responsibilities revolve around AI agents, data analysis, and building tooling for ML models.

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-nati…


Applied Machine Learning Research Scientist

Headquarters/Sunnyvale Office, Toronto Office

Machine Learning
Deep Learning
LLM
PyTorch
Data Pipelines
Reinforcement Learning
Model Training
Model Optimization
Natural Language Processing

The role explicitly focuses on applying and improving machine learning techniques, specifically LLMs, for training, optimization, and deployment. The responsibilities are heavily centered around ML systems and pipelines.


Full Stack LLM Engineer

Generative AI, MLOps, Hardware Acceleration

LLM
PyTorch
TensorFlow
Machine Learning
Deep Learning
MLIR
Compiler Development
C++
Python
Data Science
Model Optimization
Inference

The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities and required skills are heavily centered around AI/ML concepts and implementation.


LLM Inference Performance & Evals Engineer

Generative AI, LLM Inference, Hardware Acceleration

LLM
Machine Learning
Deep Learning
Inference
Model Optimization
Python
C++
MLIR
LLVM
Performance Profiling
Quantization
Transformer Architecture

The role is explicitly focused on LLM inference performance, model evaluation, and optimization on specialized hardware. The responsibilities and required skills are deeply rooted in AI/ML concepts and techniques.


Lead Full Stack Machine Learning Engineer

Machine Learning
Deep Learning
PyTorch
TensorFlow
Model Optimization
Compiler Optimization
C++
Python
RL
Inference Serving
MLOps

The role is explicitly focused on bringing up and optimizing ML frameworks and models on specialized hardware. The responsibilities directly involve core AI/ML tasks like model architecture translation, compiler optimizations, and performance tuning. The required skills are heavily weighted towards AI/ML expertise.


Distributed LLM Inference Engineer

Generative AI, Machine Learning Infrastructure

LLM
Machine Learning
Deep Learning
PyTorch
MLOps
Distributed Systems
Inference
vLLM
TensorRT-LLM
CUDA

The role is explicitly focused on building and optimizing infrastructure for large-scale LLM inference, a core AI task. The description heavily emphasizes AI/ML technologies and their application.

About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI https://thenewstack.io/how-ray-a-distributed-ai-framework-helps-power-chatgpt/, Uber https://www.uber.com/blog/horovod-ray/, Spotify https://engineering.atspotify.com/2023/02/unleashing-ml-innovation…


Applied Machine Learning Engineer

Machine Learning
LLM
Generative AI
Python
MLOps
Fine-tuning
SFT
RLHF
Model Deployment
Inference

The role explicitly focuses on developing, fine-tuning, and operationalizing machine learning models, with a strong emphasis on generative AI and LLM inference. The responsibilities are heavily centered around AI/ML engineering tasks.

About Us: At Fireworks, we’re building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We’ve been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We’re an ambitious, collaborative team…


Engineering Manager - Forward Deployed Engineering (LLM)

LLM
Machine Learning
Inference Optimization
Python
MLOps
Model Serving
Data Science
Generative AI

The role is explicitly focused on building, scaling, and optimizing LLM inference workloads. The team is a 'Forward Deployed Engineering' team working directly with customers on AI deployments. The requirements clearly state experience with LLMs and ML inference systems.

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E https://www.baseten.co/blog/announcing-baseten-s-300m-series-e/, backed by investors including BOND, IVP, Spark Capital, Greylock, and Convictio…


Sr AI Engineer | Remote - Europe | TS/Vue/NodeJS

LLM
Prompt Engineering
Embedding Models
Vector Databases
Machine Learning
AI APIs
GenAI
RAG

The role is explicitly focused on building AI-powered features into the core product, including LLM integration, prompt engineering, and AI feature lifecycle management. The requirements and bonus points heavily emphasize AI/ML expertise.

The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spi…


AI Product Manager

AI Product Management
LLM
AI Evaluation
AI Trust
AI Agents
Machine Learning
Prompt Engineering
AI Orchestration
AI Workflows
Data Analysis

The role is explicitly focused on building and shipping AI products, defining AI strategy, and leading AI-focused workstreams (AI Trust, AI Building/Super Agent). The requirements heavily emphasize AI depth, experience with AI tools, and a track record of shipping AI products.


Machine Learning Infrastructure Engineer

Machine Learning
MLOps
Kubernetes
Cloud Computing
GPU Optimization
PyTorch
TensorFlow
JAX
Large Language Models

The role is explicitly focused on building and maintaining infrastructure for ML research and serving, with a strong emphasis on large language models and GPU utilization. The requirements and responsibilities directly relate to core AI/ML engineering tasks.

ABOUT THE ROLE We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities: - Provide infrastructure support to our ML research and product - Build tooling to diagnose cluster issues and hardware failures - Monitor deployments, manage experiments, and generally support our research - Maximize GPU allocation and utilization for both serving and training Requirements: - 4+ years of experience supporting the infrastructure within an ML envir…


AI Researcher, Core ML (Turbo)

Generative AI, Large Language Models, MLOps

Machine Learning
Deep Learning
LLM
RLHF
RLAIF
GRPO
DPO
Inference
Model Optimization
GPU Optimization
Python
Data Science

The role is explicitly focused on building and optimizing AI/ML systems, specifically around inference and reinforcement learning for large language models. The responsibilities and requirements heavily emphasize core AI/ML skills and concepts.

About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the…


LLM Inference Frameworks and Optimization Engineer

LLM
Large Language Models
Deep Learning
Inference
CUDA
TensorRT
PyTorch
GPU Optimization
Distributed Systems
Machine Learning
Model Optimization
Transformer Architectures

The role is entirely focused on the development and optimization of LLM inference frameworks, distributed systems, and related technologies. The responsibilities and requirements clearly indicate a core AI/ML engineering position.

About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency. We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU…


Machine Learning Engineer

Machine Learning
LLM
Inference
Python
Data Science
MLOps
Model Training
Distributed Systems

The role explicitly focuses on developing systems for LLM inference and fine-tuning, requiring deep expertise in ML and related technologies. The company is a research-driven AI company.

About the Role Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs. Requirements 5+ years experience writing high-performance, well-tested, production quality code Bachelor’s degree in computer science or equivalent industry experience Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLL…


Machine Learning Engineer - Inference

Machine Learning
PyTorch
Large Language Models
AI Inference
MLOps
CUDA
Triton
Data Science

The role is explicitly focused on building and optimizing AI inference systems for large language models. The responsibilities and requirements heavily emphasize ML engineering, performance optimization, and working with cutting-edge AI technologies.

About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and effectively at scale. If you are passionate about AI inference, PyTorch, and developing high-performance systems, we want to hear from you. This position offers the chance to collaborate closely with AI researchers and engineers to create cutting-edge AI solut…


Senior Machine Learning Engineer, Voice AI

Machine Learning
Model Serving
Inference Optimization
LLM
PyTorch
CUDA
GPU Optimization
Speech-to-Text
Text-to-Speech
MLOps
Data Science

The role is explicitly focused on building and optimizing the model serving layer for voice applications, working with state-of-the-art voice models and inference engines. The responsibilities are heavily centered around ML engineering tasks.

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the fro…


Staff Machine Learning Engineer, Voice AI

Machine Learning
LLM
Model Serving
Inference Optimization
PyTorch
CUDA
GPU Optimization
Data Science
MLOps
Deep Learning
Natural Language Processing
Speech Recognition

The role is entirely focused on building and optimizing the model serving layer for voice applications, including LLMs, STT, and TTS. It requires deep expertise in ML engineering, inference optimization, and GPU utilization. The responsibilities and requirements clearly indicate a core AI/ML role.

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro — pushing latency and throughput to the fron…


AI Engineer, Product

LLM
Prompt Engineering
A/B Testing
MLOps
Python
TypeScript
Data Science
Observability
AI Evaluation
AI Safety

The role is explicitly focused on improving AI-powered features, designing prompts, running evaluations, and operating model releases. The job description heavily emphasizes practical AI/ML production experience and working directly with LLMs.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and…


Applied AI Engineer, Prototyping

Generative AI, Machine Learning, LLM Applications

LLMs
RAG
Agentic Systems
ML
Python
FastAPI
Pydantic
Kubernetes
Data Science
GenAI

The role explicitly focuses on building and deploying production-grade AI systems, working with LLMs, RAG, and agentic systems. The candidate is expected to have a strong technical background in AI and software engineering, and the job description emphasizes hands-on AI development and problem-solving.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives…


Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Singapore

Machine Learning
LLM
Fine-tuning
RAG
GenAI
Data Science
MLOps
Cloud Infrastructure
NLP

The role explicitly focuses on deploying and building AI products, fine-tuning LLMs, and working with customers on complex AI use cases. The job description heavily emphasizes technical AI skills and experience.


Applied AI, Forward Deployed Machine Learning Engineer - EMEA

Machine Learning
LLM
Fine-tuning
RAG
GenAI
Python
Data Science
MLOps
Pytorch
API Integration

The role explicitly focuses on deploying and implementing AI solutions for customers, involving deep ML expertise, LLM fine-tuning, and working with cutting-edge AI research. The job description heavily emphasizes technical AI skills and application.

About The Job Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By j…


Applied AI, Forward Deployed Machine Learning Engineer - Montreal

Machine Learning
LLM
GenAI
NLP
Data Science
Fine Tuning
RAG
Pytorch
Langchain
Vector Databases
Prompting
Evaluation

The role explicitly focuses on deploying and supporting AI products (LLMs), fine-tuning, and working with customers on complex AI challenges. The required skills and experience are heavily weighted towards AI/ML/LLM expertise.


Applied AI, Forward Deployed Machine Learning Engineer - Morocco

Machine Learning
LLM
Fine-tuning
RAG
GenAI
Python
Data Science
MLOps
API Integration
Pytorch

The role explicitly focuses on deploying and implementing AI solutions for customers, involving deep ML expertise, LLM fine-tuning, and working with cutting-edge AI technologies. The job description heavily emphasizes technical AI work.


Applied AI, Forward Deployed Machine Learning Engineer - Palo Alto

Machine Learning
LLMs
GenAI
NLP
Data Science
Fine-tuning
RAG
Pytorch
Langchain
Vector Databases
Prompt Engineering
Model Evaluation

The role explicitly focuses on deploying and integrating Mistral AI's LLM products with customers, requiring deep technical expertise in LLMs, fine-tuning, and related AI technologies. The job description heavily emphasizes AI/ML tasks.


Applied AI, Forward Deployed Machine Learning Engineer- Singapore

Machine Learning
LLMs
GenAI
Data Science
Fine Tuning
RAG
NLP
Python
Pytorch
Langchain
Vector Databases
MLOps

The role explicitly focuses on deploying and integrating Mistral AI's LLM products with customers, requiring deep technical expertise in fine-tuning, RAG, and LLM applications. The job description heavily emphasizes AI/ML tasks and skills.


Applied AI, Forward Deployed Machine Learning Engineer, Critical and Sovereign Institutions, EMEA

Generative AI, Sovereign AI, Critical Infrastructure

Machine Learning
LLM
GenAI
NLP
PyTorch
LangChain
HuggingFace
MLOps
RAG
Agentic Systems
Fine-tuning

The role explicitly focuses on designing, implementing, and deploying AI solutions, specifically LLMs and GenAI, for critical and sovereign institutions. The required skills and experience heavily emphasize AI/ML expertise.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life, democratizing AI through high-performance, open-source models, products, and solutions. Our comprehensive AI platform meets enterprise needs, whether on-premises or in the cloud, and includes tools like Le Chat, La Plateforme, and Mistral Compute. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse…


Applied AI, Technical Lead, Forward Deployed AI Engineer - Abu Dhabi

AI
Machine Learning
LLM
GenAI
NLP
Python
PyTorch
LangChain
Hugging Face
RAG
MLOps
Fine-tuning

The role explicitly focuses on leading the technical execution and delivery of complex AI solutions for enterprise customers, including fine-tuning LLMs, RAG, and agentic workflows. The job description heavily emphasizes hands-on coding and technical leadership in AI/ML.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI an…


Applied AI, Technical Lead, Forward Deployed AI Engineer - EMEA

AI
Machine Learning
LLM
GenAI
NLP
Python
PyTorch
RAG
MLOps
Fine-tuning
Computer Science
Data Science

The role explicitly focuses on leading the technical delivery of AI solutions for enterprise customers, including fine-tuning LLMs, RAG, and agentic workflows. The job description heavily emphasizes hands-on AI development and technical leadership within the AI domain.


Applied AI, Technical Lead, Forward Deployed AI Engineer - Montreal

AI
Machine Learning
LLM
GenAI
NLP
RAG
Fine-tuning
PyTorch
Python
MLOps
Computer Vision
LangChain

The role explicitly focuses on leading the technical delivery of AI solutions for enterprise customers, including fine-tuning LLMs, RAG, and agentic workflows. The job description heavily emphasizes hands-on AI development and technical leadership within the AI space.


Data Scientist

Data Analysis
Machine Learning
Statistical Modeling
Python
SQL
Experimental Design
Causal Inference
MLOps
Data Science
Data Preprocessing
Model Building
Model Evaluation

The role is explicitly focused on analyzing AI product performance, designing data-driven features, building and deploying ML models, and improving AI products. The required skills and experience heavily emphasize data science and machine learning techniques.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and…


Open-Source Software, Machine Learning Engineer

Machine Learning
LLMs
Python
PyTorch
MLOps
Data Science
Open Source Development
Model Training
Model Fine-tuning

The role explicitly focuses on releasing, maintaining, and improving open-source models and libraries related to LLMs. The required skills and experience heavily emphasize ML, LLMs, and MLOps. The candidate will work within the Science team and directly contribute to the core AI offerings of the company.


Research Engineer, Machine Learning

Machine Learning
Deep Learning
LLMs
NLP
PyTorch
TensorFlow
JAX
CUDA
Distributed Training
Data Pipelines
MLOps

The role explicitly focuses on building and optimizing large-scale learning systems for open-weight models, working directly with research scientists on core ML tasks. The description details hands-on work with cutting-edge deep learning techniques and productionizing models.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic…


Research Engineer, Machine Learning - Paris/London/Zurich/Warsaw

Machine Learning
Deep Learning
NLP
LLMs
PyTorch
JAX
TensorFlow
CUDA
Data Pipelines
Distributed Training
MLOps

The role explicitly focuses on building and optimizing large-scale learning systems for open-weight models, working directly with research scientists on cutting-edge deep learning techniques and integrating them into production. The job description heavily emphasizes ML algorithms, model training, and related technologies.


Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA

Machine Learning
AI
Python
PyTorch
TensorFlow
LLM
MLOps
Data Science
Inference
Fine-tuning
AI Infrastructure

The role explicitly focuses on deploying and scaling AI products, working with customers on AI solutions, and contributing to open-source AI codebases. The job description heavily emphasizes AI/ML technologies and their application in production environments.


Applied AI, Senior/Staff Forward Deployed Machine Learning Engineer - Munich


Applied AI, Forward Deployed Machine Learning Engineer - Munich


Applied AI, Technical Lead, Forward Deployed AI Engineer - Munich


Applied AI Engineer, CyberSecurity

LLM orchestration
RAG systems
Agent building
Context Engineering
AI agents
Evals
MLOps

The role explicitly focuses on building and deploying AI-powered cybersecurity solutions, including agentic workflows, context engineering, and orchestration of multi-agent systems. The job description heavily emphasizes AI/ML skills and their application to real-world security problems.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and it…


Applied AI, Technical Lead - Forward Deployed AI Engineer

AI
Machine Learning
LLM
GenAI
RAG
NLP
Python
PyTorch
MLOps
Fine-tuning
Agentic Systems
Computer Science

The role explicitly focuses on leading the technical execution of AI solutions for enterprise customers, including fine-tuning LLMs, RAG, and agentic workflows. The job description heavily emphasizes hands-on AI development and technical leadership within the AI domain.


AI Engineer (m/w/d)

AI
Machine Learning
Deep Learning
Python
Data Science

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kern-KI-Rolle hin. Der Fokus liegt direkt auf KI-Entwicklung.


Full-Stack AI Engineer (m/w/d)

AI
Machine Learning
Full-Stack Development

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kern-KI-Rolle hin, die sowohl AI-Entwicklung als auch Full-Stack-Fähigkeiten erfordert.

Full-Stack AI Engineer (m/w/d) Informatiker/in


Senior Agentic AI Engineer (f/m/x)

AI
Agentic AI
Machine Learning
LLM
Python
Software Engineering

The job title explicitly mentions 'AI Engineer' and focuses on 'Agentic AI', indicating a core AI role. The company is a major automotive manufacturer, suggesting application to advanced robotics and autonomous systems.

Senior Agentic AI Engineer (f/m/x) Informatiker/in


AI
GenAI
Solution Architecture
Software Architecture
Machine Learning
LLM

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI-Loesungen hin, insbesondere GenAI. Die Aufgaben umfassen die Konzeption und Implementierung von KI-Architekturen.

Senior AI Solution Architect - Enterprise GenAI Solutions (f/m/x) Software-Architect


Generative AI
AI Evaluation
Machine Learning
Data Analysis

Die Masterarbeit konzentriert sich direkt auf die automatisierte Bewertung generativer KI, was einen klaren und zentralen KI-Fokus darstellt.

Master Thesis Automated Generative AI Evaluation (f/m/x) Informatiker/in


Agentic AI Engineer (f/m/x)

AI
Agentic AI
Machine Learning
Software Engineering

The job title explicitly mentions 'Agentic AI Engineer', indicating a core focus on AI development. The company (BMW) is increasingly investing in AI for autonomous driving and related technologies.

Agentic AI Engineer (f/m/x) Informatiker/in


AI / ML Engineer - in Regensburg

The job title explicitly mentions AI/ML engineering and the description confirms a focus on AI/ML. The role is centered around AI/ML development.

AI / ML Engineer - in Regensburg KI-Engineer


Data Science
Deep Learning
AI
Machine Learning
Model Building
Algorithm Development

The job title and description explicitly focus on Data Science, Deep Learning, and AI. The role is a leadership position within these fields, indicating a core focus on AI/ML.

Director, Data Science - Deep Learning & AI Data Scientist


(Senior) AI Engineer (m/w/d)

AI
Machine Learning
Prompt Engineering
LLM

Der Jobtitel und die Beschreibung deuten stark auf eine Kern-KI-Rolle hin, die sich auf die Entwicklung und Implementierung von KI-Loesungen konzentriert. Der Fokus auf 'KI-Prompter' unterstreicht den direkten Bezug zu LLMs.

(Senior) AI Engineer (m/w/d) KI-Prompter


Forschungszentrum Jülich GmbH P-VA Personalabrechnung

Generative AI
Machine Learning
Deep Learning
Data Analysis
Python

The position explicitly focuses on applying generative AI to smart grids and energy systems, indicating a core AI research role.

PhD Position - Generative AI for Smart Grids and Energy Systems Physiker/in


AI Engineer / Data Scientist

The job title explicitly mentions 'AI Engineer' and 'Data Scientist', and the description confirms a focus on data science. This strongly suggests a core AI role.

AI Engineer / Data Scientist Data Scientist


The job title explicitly mentions Machine Learning and AI. The description confirms this is a core engineering role focused on these technologies.

Senior Engineer Machine Learning / AI (w/m/d) Machine Learning Engineer


Freiburg im Breisgau, Baden-Württemberg, Deutschland

NLP
Generative AI
Machine Learning
AI
R&D

The job title explicitly mentions 'AI Engineer' with focus on NLP and Generative AI. The description confirms a research and development role centered around these AI technologies.

Senior AI Engineer (R&D)- NLP & Generative AI (d/m/w/d) 80-100% Application-Engineer/-Manager/in


Duales Studium Data Science und Künstliche Intelligenz (B. Sc.)

Biberach an der Riß, Baden-Württemberg, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Data Mining
Statistik
Programmierung

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der Studienganginhalt wird sich überwiegend mit diesen Themen befassen.


Ulm, Donau, Baden-Württemberg, Deutschland

Generative AI
Agentic AI
Data Science
Machine Learning
LLM

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich Generative AI und Agentic AI hin, was direkt mit KI/ML zusammenhängt. Die explizite Nennung von 'Data Scientist' verstärkt dies.

Generative AI/Agentic AI Engineer (m/w/d) für AIRBUS Data Scientist


AI Engineer (m/w/d)

AI
Machine Learning
Data Science
Modellierung
Algorithmen

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle in der KI-Entwicklung hin. Die explizite Nennung von 'AI Engineer' und 'Data Scientist' unterstreicht dies.


Generative AI
LLM
Agentic AI
AI Engineering
Research
Development

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich Generative AI und Agentic AI hin. Forschung und Entwicklung sind zentrale Aufgaben.

Generative AI / Agentic AI Engineer (m/w/d) Forschungs- und Entwicklungsingenieur/in


Taufkirchen, Kreis München, Bayern, Deutschland

MLOps
KI-Infrastruktur
DevOps
Machine Learning
Cloud Computing

Der Jobtitel und die Beschreibung konzentrieren sich direkt auf KI-Infrastruktur und MLOps, was auf eine Kernrolle in der Entwicklung und dem Betrieb von KI-Systemen hindeutet.

AI Platform Engineer (m/w/d) KI-Infrastruktur & MLOps DevOps Engineer


MLOps
Machine Learning
Data Science
Autonomous Driving
Python
Cloud Computing

The role explicitly focuses on MLOps for an autonomous driving platform, indicating a core focus on machine learning model deployment, monitoring, and scaling. The job title and description strongly suggest a primary focus on AI/ML.

Senior MLOps Engineer - Autonomous Driving Platform (f/m/x) Data Scientist


Senior AI Engineer (w/m/d)

AI
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
MLOps

The job title explicitly mentions 'AI Engineer' and the description indicates a technical role focused on AI development. The specialization as 'Anwendungsentwicklung' (application development) suggests building and deploying AI-powered applications.

Senior AI Engineer (w/m/d) Fachinformatiker/in - Anwendungsentwicklung


Machine Learning Engineer (m/w/d)

Machine Learning
MLOps
Data Science
Python

The job title explicitly mentions 'Machine Learning Engineer' and the description confirms a focus on ML. This indicates a core AI role.

Machine Learning Engineer (m/w/d) Informatiker/in


Softwareentwickler Gen AI (w/m/d)

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit der Entwicklung von GenAI-Software befasst. Dies ist ein klarer Kern-KI-Job.

Softwareentwickler Gen AI (w/m/d) Softwareentwickler/in


MLOps / LLMOps Engineer (m/w/d)

MLOps
LLMOps
Machine Learning
DevOps
Cloud Computing
CI/CD

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich MLOps/LLMOps hin, was die Bereitstellung, Überwachung und Skalierung von Machine Learning Modellen und LLMs umfasst. Die explizite Nennung von MLOps und LLMOps im Titel ist ein starker Indikator.

MLOps / LLMOps Engineer (m/w/d) IT-Systemadministrator/in


Machine Learning
Gen AI
Recommender Systems
Data Science
MLOps

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle in der Entwicklung von Machine Learning Modellen und Recommender Systemen hin. Die explizite Nennung von Gen AI und Data Scientist verstärkt dies.

Professional Machine Learning Entwickler (m/w/d) Gen AI & Recommender Systems Explorer Data Scientist


Stolberg (Rheinland), Nordrhein-Westfalen, Deutschland

Data Science
AI
Machine Learning
Automation
Python
Data Analysis
Model Building

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science und AI hin. Die explizite Nennung von AI und Automation im Titel verstärkt dies.

Data Scientist – AI & Automation (w/m/d) Data Scientist


MLOps
Machine Learning
Python
Cloud Computing
CI/CD

Die Stellenbezeichnung und die Beschreibung konzentrieren sich direkt auf MLOps Engineering, was ein Kernbereich der KI-Infrastruktur und des Modell-Deployments ist.

(Associate) Consultant MLOps Engineering (m/w/d) IT-Berater/in


MLOps Engineer (m/f/d)

MLOps
Machine Learning
Docker
Kubernetes
CI/CD
Cloud Computing
Python

Die Rolle konzentriert sich direkt auf MLOps, was die Bereitstellung, Überwachung und Skalierung von Machine-Learning-Modellen beinhaltet. Der Titel und die Beschreibung deuten stark auf eine Kern-KI-Rolle hin.

MLOps Engineer (m/f/d) IT-Lösungsentwickler/in


Machine Learning
MLOps
Python
Data Modeling
Algorithm Development

The job title and description explicitly focus on Machine Learning engineering for a global platform. The core responsibility is building and maintaining ML systems.

Senior Machine Learning Engineer - Tech Foundations - Global Machine Learning Platform Machine Learning Engineer


GenAI
Agentic AI
LLM
AI Consulting
AI Strategy

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit GenAI und Agentic AI befasst. Die Aufgaben umfassen wahrscheinlich die Konzeption, Implementierung und Beratung im Bereich KI.

Senior Consultant GenAI & Agentic AI (m/w/d) IT-Berater/in


Data Scientist (all genders)

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

The job title explicitly mentions 'Data Scientist' and the description, even if minimal, confirms a focus on data science tasks. This strongly suggests a core AI/ML role.

Data Scientist (all genders) Data Scientist


MLOps
AI
Data Science
Machine Learning
AI Operationalization

Der Jobtitel und die Beschreibung konzentrieren sich direkt auf AI Operationalization und MLOps, was Kernbereiche der KI-Entwicklung und -Bereitstellung sind. Die Rolle erfordert offensichtlich tiefgreifende KI-Kenntnisse.

Berater AI Operationalization MLOps - AI & Data (w/m/d) Informatiker/in


Rüsselsheim am Main, Hessen, Deutschland

Machine Learning
MLOps
AI Systems
Python
Data Engineering

The job title and description explicitly focus on core AI/ML engineering tasks, including model deployment and productionization. The emphasis on MLOps and production-grade systems indicates a deep involvement in the AI lifecycle.

AI Engineer (m/f/d) – Machine Learning, MLOps and Production-Grade AI Systems KI-Engineer


MLOps Engineer (m/w/d)

MLOps
Machine Learning
CI/CD
Docker
Kubernetes
Cloud Computing

The job title explicitly mentions MLOps, and the description implies a focus on the operationalization of machine learning models. This is a core AI role.

MLOps Engineer (m/w/d) Wirtschaftsinformatiker/in (Hochschule)


MLOps Engineer (w/m/d)

Landesamt für Zentrale Polizeiliche Dienste NRW

MLOps
Machine Learning
DevOps
CI/CD
Python
Cloud Computing

The job title explicitly mentions MLOps, and the description focuses on a technical role related to machine learning operations. This indicates a core focus on AI/ML.


Zimmern ob Rottweil, Baden-Württemberg, Deutschland

LLM
AI
Machine Learning
Software Integration
Data Science

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI/LLM hin. Die Aufgaben umfassen die Entwicklung und Integration von LLM-Systemen, was ein direkter Bezug zu KI ist.

AI Engineer (m/w/d) – LLM-Systeme & Softwareintegration Data Scientist


Der Jobtitel und die Beschreibung deuten klar auf eine Kernrolle im Bereich Machine Learning Engineering hin. Die Aufgaben umfassen die Entwicklung und Implementierung von ML-Modellen.

Senior Consultant - Machine Learning Engineering (m/w/d) Machine Learning Engineer


MLOps Engineer (m/w/d)

The job title explicitly mentions MLOps and Machine Learning. The description confirms a focus on Machine Learning Engineering, indicating a core AI role.

MLOps Engineer (m/w/d) Machine Learning Engineer


AI Engineer (m/f/d)

AI
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kern-KI-Rolle hin. Der Fokus liegt direkt auf KI-Entwicklung.


Data Scientist (m/w/d)

Data Science
Machine Learning
Python
Statistical Modeling
Data Analysis

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science hin. Es wird erwartet, dass die Aufgaben überwiegend datenwissenschaftliche Modellierung und Analyse umfassen.


Machine Learning
Softwareentwicklung
Python
MLOps

Der Jobtitel und die Beschreibung deuten klar auf eine Kernrolle im Bereich Machine Learning hin. Die Aufgaben umfassen die Entwicklung von Machine Learning-Modellen und -Anwendungen.

Software-Entwickler Machine Learning (m/w/d) Machine Learning Engineer


Principal Data Scientist (m/w/d)

Nürnberg, Mittelfranken, Bayern, Deutschland

Data Science
Machine Learning
Statistical Modeling
Python
Data Analysis

The job title explicitly mentions 'Data Scientist' and the description confirms a focus on data science tasks. This indicates a core AI role.

Principal Data Scientist (m/w/d) Data Scientist


Bergisch Gladbach, Nordrhein-Westfalen, Deutschland

Data Science
Machine Learning
Autonomous Driving
Algorithm Development
Data Analysis
Model Building

The job title explicitly mentions 'Data Scientist' and the description focuses on the field of autonomous driving, which heavily relies on AI/ML for perception, planning, and control. This indicates a core AI role.

Data Scientist (Master/Uni-Diplom/TH) (m/w/d) im Bereich autonomes Fahren Informatiker/in


Machine Learning
Data Generation
Gesture Recognition
Synthetic Data
Python

Die Masterarbeit konzentriert sich direkt auf die Entwicklung von Machine Learning Modellen zur Datengenerierung im Bereich Gestenerkennung. Dies ist ein klarer Kern-KI-Job.

Masterarbeit Machine Learning für synthetische Datengenerierung im Bereich Gestenerkennung (w/m/x) Machine Learning Engineer


Der Jobtitel und die Beschreibung deuten klar auf eine Kernrolle im Bereich Künstliche Intelligenz und Machine Learning hin. Die explizite Nennung von 'Machine Learning Engineer' verstärkt dies.

Spezialist (m/w/d) Künstliche Intelligenz, Bank11 Machine Learning Engineer


Machine Learning
MLOps
Data Science
Python
Modellentwicklung
Algorithmen

Der Titel und die Beschreibung deuten stark auf eine Kernrolle in der Entwicklung und Anwendung von Machine Learning hin. Die explizite Nennung von 'Machine Learning Scientist' und 'Machine Learning Engineer' bestärkt dies.

Principal Machine Learning Scientist (alle Geschlechter) Machine Learning Engineer


Machine Learning
MLOps
Data Science
Algorithm Development
Model Building

The job title explicitly mentions 'Machine Learning Scientist' and the description confirms a focus on machine learning engineering. This indicates a core role in developing and implementing ML solutions.

Principal Machine Learning Scientist (alle Gechlechter) Machine Learning Engineer


#14441 Data Scientist (m/w/d)

The job title explicitly mentions 'Data Scientist' and the description confirms a focus on data science tasks. This is a core AI role.

#14441 Data Scientist (m/w/d) Data Scientist


#14462 Data Scientist (m/w/d)

#14462 Data Scientist (m/w/d) Data Scientist


Data Scientist (m/w/d)

The job title explicitly mentions 'Data Scientist' and the description, while minimal, confirms the role. This indicates a core focus on data science principles and techniques.


Machine Learning
AI
Agentic AI
ML Engineering

The job title and description explicitly mention 'Machine Learning Engineer' and 'Agentic AI', indicating a core focus on developing and implementing ML models. The team focus on vendor data suggests application of ML to data processing and analysis.

Principal ML Engineer (Agentic AI)-Vendor Data Team Machine Learning Engineer


Der Jobtitel und die Beschreibung deuten klar auf eine Kernrolle in der KI-Entwicklung hin, mit Fokus auf Machine Learning und Softwareentwicklung. Die Aufgaben sind direkt auf KI-Technologien ausgerichtet.

KI-Entwickler (m/w/d) – Machine Learning & Softwareentwicklung Anwendungsprogrammierer/in


Machine Learning Engineer (m/w/d)

Machine Learning
MLOps
Python
Data Modeling
Algorithm Development

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Machine Learning hin. Die Aufgaben umfassen wahrscheinlich die Entwicklung, das Training und die Bereitstellung von ML-Modellen.

Machine Learning Engineer (m/w/d) Machine Learning Engineer


Machine Learning
Deep Learning
KI
Python
Data Analysis

Der Jobtitel und die Beschreibung deuten klar auf eine Rolle hin, die sich direkt mit Machine Learning und KI befasst. Die Bezeichnung 'Machine Learning Engineer' unterstreicht dies.

Werkstudierende - Machine/ Deep Learning & KI (m/w/d) Machine Learning Engineer


GenAI
Machine Learning
Google Cloud
LLM
MLOps

Der Titel und die Beschreibung deuten stark auf eine Kernrolle im Bereich GenAI und Machine Learning hin. Die explizite Nennung von Google Cloud und Machine Learning Engineer bestärkt dies.

Staff Forward Deployed Engineer, GenAI, Google Cloud Machine Learning Engineer


Data Scientist (w/m/d)

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

The job title explicitly mentions 'Data Scientist' and the description, even if minimal, confirms a focus on data science tasks. This strongly suggests a core AI role.


Data Scientist (m/w/d)


Data Scientist Engineer (m/w/d)

Data Science
Machine Learning
Python
Data Analysis
Statistical Modeling

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science hin. Der Fokus liegt auf der Anwendung von Data Science-Methoden.

Data Scientist Engineer (m/w/d) Data Scientist


Machine Learning Engineer (m/w/d)

Machine Learning
Python
Data Modeling
Algorithm Development

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Machine Learning hin. Die Aufgaben umfassen wahrscheinlich die Entwicklung und Implementierung von ML-Modellen.

Machine Learning Engineer (m/w/d) Informatiker/in


Data Scientist (m/w/d)

Ins. für Arbeitswissenschaft und Technologiemanagement IAT der Universität Stuttgart

The job title explicitly mentions 'Data Scientist' and the description focuses on data-driven work, indicating a core AI/ML role.


Data Scientist (m/w/d) in Vollzeit

Institut für digitale Gesundheitsdaten RLP gGmbH

Mainz am Rhein, Rheinland-Pfalz, Deutschland

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and modeling, which are core data science activities.

Data Scientist (m/w/d) in Vollzeit Data Scientist


(Senior) Data Scientist (m/w/d)

Weiden in der Oberpfalz, Bayern, Deutschland

The job title explicitly mentions 'Data Scientist' and the description confirms a focus on data science tasks. This indicates a core AI role.

(Senior) Data Scientist (m/w/d) Data Scientist


Data Scientist (m/w/d)

Lantenhammer Consulting Silvia Lantenhammer

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science hin. Es wird erwartet, dass die Aufgaben überwiegend datenwissenschaftliche Modellierung und Analyse umfassen.


(Senior) Data Scientist (m/f/d)

(Senior) Data Scientist (m/f/d) Informatiker/in


Data Scientist / AI-Engineer (m/w/d)

Data Science
AI
Machine Learning
Python
Data Analysis

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle in Data Science und AI hin. Die explizite Nennung von 'Data Scientist' und 'AI-Engineer' ist entscheidend.

Data Scientist / AI-Engineer (m/w/d) Informatiker/in


AI Engineer (f/m/x) - Berlin - Hybrid

Machine Learning
AI
MLOps
Python
Data Science

Der Jobtitel und die Beschreibung deuten klar auf eine Kern-KI-Rolle hin, die sich auf Machine Learning konzentriert.

AI Engineer (f/m/x) - Berlin - Hybrid Machine Learning Engineer


AI Engineer (f/m/x) - Dortmund - Hybrid

Der Jobtitel und die Beschreibung deuten klar auf eine Kern-KI-Rolle hin. Der Fokus liegt auf Machine Learning Engineering.

AI Engineer (f/m/x) - Dortmund - Hybrid Machine Learning Engineer


Machine Learning Engineer (m/w/d)

Heilbronn, Neckar, Baden-Württemberg, Deutschland

The job title explicitly mentions 'Machine Learning Engineer' and the description confirms a focus on machine learning tasks. This is a core AI role.


AI Engineer (all genders)

The job title explicitly mentions 'AI Engineer' and 'Machine Learning Engineer'. The description confirms a focus on machine learning, indicating a core AI role.

AI Engineer (all genders) Machine Learning Engineer


Optica Abrechnungszentrum Dr. Güldener GmbH

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit der Entwicklung von KI- und Machine-Learning-Lösungen befasst. Die Kombination aus KI und Softwareentwicklung unterstreicht den Kernbezug zur KI.

KI-Entwickler (m/w/d) – Machine Learning & Softwareentwicklung Softwareentwickler/in


Data Scientist (w/m/d)

Winningen, Mosel, Rheinland-Pfalz, Deutschland


(Senior) Applied AI/ML Engineer (f/m/d)

Machine Learning
AI
ML
Python
Data Science
Model Deployment

The job title and description explicitly focus on applied AI/ML engineering, indicating a core role in developing and deploying machine learning models.

(Senior) Applied AI/ML Engineer (f/m/d) Machine Learning Engineer


Data Scientist (m/w/d)

The job title explicitly mentions 'Data Scientist' and the description, even if minimal, confirms a focus on data science. This strongly suggests a core AI/ML role.


Data Scientist

Rheinische Friedrich Wilhelms Universität Bonn

The job title explicitly states 'Data Scientist' and the description, while minimal, confirms the role. Data Science is a core AI field.


Data Science
Machine Learning
Data Mining
Statistical Modeling
Python
R

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science hin. Die Aufgaben umfassen wahrscheinlich die Entwicklung und Anwendung von ML-Modellen.

Robotron Datenbank-Software GmbH: Data Scientist (m/w/d) Data Scientist


Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle in der KI-Entwicklung hin, insbesondere im Kontext einer 'AI Factory'. Die explizite Nennung von 'Data Scientist' und 'KI' unterstreicht dies.

KI-Experte/Data Scientist (w/m/d) für unsere AI Factory im Siemens Vorzeigewerk Data Scientist


AI Engineer (m/w/d)

Stiftung Kirchliches Rechenzentrum Südwestdeutschland

Der Jobtitel und die Beschreibung deuten klar auf eine Kern-KI-Rolle hin. Die explizite Nennung von 'AI Engineer' und 'Machine Learning Engineer' unterstreicht den Fokus auf KI-Entwicklung.

AI Engineer (m/w/d) Machine Learning Engineer


Data Scientist (m/w/d)

Wildau bei Königs Wusterhausen, Brandenburg, Deutschland

The job title explicitly mentions 'Data Scientist' and the description indicates a focus on data science principles. The role is inherently centered around data analysis and model building.


Data Scientist (m/w/d)

The job title explicitly mentions 'Data Scientist' and the description indicates a focus on computer science, strongly suggesting core AI/ML work.


Machine Learning
Data Science
Python
Modellentwicklung
MLOps

Die Stellenbeschreibung nennt explizit 'Machine Learning' im Titel und in der Beschreibung. Die Rolle ist auf die Leitung und Koordination von Machine Learning-Aktivitäten ausgerichtet, was auf einen hohen Anteil an Kern-KI-Arbeit hindeutet.

Teamleitung & Koordinatorin/ Koordinator Machine Learning Informatiker/in


Machine Learning
KI
Medizinische Bildgebung
Modellentwicklung
Python
Deep Learning

Die Stellenbeschreibung fokussiert direkt auf die Entwicklung von Machine Learning Modellen im medizinischen Bereich. Der Titel und die Beschreibung deuten auf eine Kernrolle in der KI-Entwicklung hin.

Senior Machine Learning Engineer - Medizinische KI-Entwicklung Informatiker/in


Machine Learning
Data Science
Simulation
Algorithm Development

The job title and description explicitly focus on applying machine learning to accelerate simulations, indicating a core AI/ML role.

Postdoctoral Position (m/f/d) Machine Learning for the Acceleration of Simulations Wissenschaftliche/r Mitarbeiter/in


Machine Learning
Data Analysis
Algorithm Development
Python
Statistical Modeling

The job title and description explicitly mention 'Machine Learning' and focus on its application. The role is a postdoctoral position, implying research and development in the field.

Postdoctoral Position (m/f/d) Machine Learning for the Accel Informatiker/in


Senior Data Scientist (m/w/d)

Data Science
Machine Learning
Statistical Modeling
Python
Data Analysis

The job title explicitly mentions 'Data Scientist' and the description confirms a focus on data science tasks. This indicates a core AI/ML role.

Senior Data Scientist (m/w/d) Data Scientist


Data Scientist (m/w/d)


Machine Learning Engineer (m/w/d)

Bornheim, Rheinland, Nordrhein-Westfalen, Deutschland

Machine Learning
MLOps
Data Modeling
Python
Data Engineering

The job title explicitly mentions 'Machine Learning Engineer'. The description, even with the addition of 'IT-Systemadministrator', strongly suggests a core focus on building and maintaining machine learning systems.

Machine Learning Engineer (m/w/d) IT-Systemadministrator/in