Data Scientist (m/w/d)

Lübbecke, Westfalen, Nordrhein-Westfalen, Deutschland

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

The job title explicitly mentions 'Machine Learning' and the description confirms a focus on this field. The company is an education center, suggesting training in ML.


Machine Learning

Karlsruhe, Baden, Baden-Württemberg, Deutschland


Machine Learning Entwickler:in

Machine Learning
Modellentwicklung
Mathematik
Algorithmen

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit der Entwicklung von Machine Learning Modellen beschäftigt. Die explizite Nennung von Mathematik unterstreicht den technischen Kern der Position.

Machine Learning Entwickler:in Mathematiker/in


Machine Learning Entwickler:in

Machine Learning
Modellentwicklung
Mathematik

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit der Entwicklung von Machine Learning Modellen befasst. Die explizite Nennung von Mathematik unterstreicht den technischen Charakter.


Künstliche Intelligenz
Automatisierung
Chatbot-Entwicklung
Machine Learning
NLP

Der Jobtitel und die Beschreibung deuten klar auf eine Kernrolle in der Entwicklung von KI-basierten Lösungen hin, insbesondere Chatbots. Die Aufgaben sind direkt auf KI und Automatisierung ausgerichtet.

mgm technology partners GmbH: Senior Entwickler Künstliche Intelligenz & Automatisierung (m/w/d) Chatbot-Entwickler/in


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

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

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


Data Scientist (m/w/d)

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

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.


Data Scientist (f/x/m)

Data Science
Machine Learning
Python
Statistical Modeling
Data Analysis


Data Scientist (m/w/d)


Bachelor of Science (DHBW) Data Science und Künstliche Intelligenz (m/w/d) Standort Winnenden 2027

Winnenden, Württemberg, Baden-Württemberg, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Data Mining
Statistik
Programmierung

Der Jobtitel und die Beschreibung deuten klar auf ein Data Science/KI-Studium mit Schwerpunkt auf praktischer Anwendung hin. Es handelt sich um eine Ausbildung, die direkt auf KI-Kernkompetenzen abzielt.


Duales Studium Bachelor of Science (B.Sc.) Data Science und künstliche Intelligenz (m/w/d) 2027

Data Science
Künstliche Intelligenz
Machine Learning
Python
Statistik
Datenanalyse

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


Duales Studium Bachelor of Science (B.Sc.) Data Science und künstliche Intelligenz (m/w/d) 2026


Künstliche Intelligenz
Machine Learning
Data Science
Python
Anwendungsentwicklung

Der Jobtitel und die Beschreibung deuten klar auf eine Rolle hin, die sich direkt mit Künstlicher Intelligenz befasst. Der Fokus liegt auf der Entwicklung und Anwendung von KI-Technologien.

Dualer Student Künstliche Intelligenz (w/m/x) Fachinformatiker/in - Anwendungsentwicklung


Der Jobtitel und die Beschreibung deuten klar auf eine Rolle hin, die sich direkt mit Künstlicher Intelligenz befasst. Die Kombination mit 'Anwendungsentwicklung' deutet auf die praktische Umsetzung von KI-Lösungen hin.


Duales Studium 2026 mit vertiefter Praxis: Künstliche Intelligenz

Künstliche Intelligenz
Machine Learning
Data Science
Python

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass der Fokus des Studiums und der praktischen Arbeit auf Künstlicher Intelligenz liegt. Ein duales Studium impliziert eine hohe praktische Relevanz.


Duales Studium: Künstliche Intelligenz RheinAhrCampus zum 01.08.2026 (m/w/d)

Koblenz am Rhein, Rheinland-Pfalz, Deutschland

Künstliche Intelligenz
Machine Learning
Data Science
Algorithmen
Modellierung

Das duale Studium ist explizit im Bereich Künstliche Intelligenz angesiedelt. Die Aufgaben umfassen Kernbereiche der KI.


Duales Studium Data Science und Künstliche Intelligenz (DSKI) 2026

Bad Sobernheim, Rheinland-Pfalz, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Data Analysis
Statistical Modeling

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der gesamte Fokus liegt auf diesen Themen.


Duales Studium Data Science und Künstliche Intelligenz 2027/2028 (m/w/d)

The job title explicitly mentions Data Science and Artificial Intelligence as the focus of the dual study program. The description confirms this is a dedicated AI/Data Science role.


Duales Studium Data Science und Künstliche Intelligenz 2026/2027 (m/w/d)

Data Science
Künstliche Intelligenz
Machine Learning
Data Analysis
Python

The job title explicitly mentions Data Science and Artificial Intelligence as the focus of the dual study program. The description will undoubtedly involve core AI/ML tasks.


Duales Studium Data Science & Künstliche Intelligenz (DHBW Ravensburg) (m/w/d)

Waltenhofen, Allgäu, Bayern, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Python
Data Mining
Statistik

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der Fokus liegt klar auf der Entwicklung von KI-Kompetenzen.


Duales Studium 2026 - Data Science und Künstliche Intelligenz (m/w/d)

Data Science
Künstliche Intelligenz
Machine Learning
Data Mining
Statistical Modeling

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der Titel und die Beschreibung deuten auf eine starke Fokussierung auf KI/ML-Kernkompetenzen hin.


Duales Studium (DHBW) - Data Science und künstliche Intelligenz (m/w/d) 2026

Das duale Studium ist explizit auf Data Science und künstliche Intelligenz ausgerichtet. Der Fokus liegt klar auf KI/ML-Themen.


Bachelor of Science (m/w/d) Data Science und Künstliche Intelligenz, Start 2026

Der Jobtitel und die Beschreibung deuten klar auf ein Studium mit Fokus auf Data Science und KI hin, was eine direkte und überwiegende Kernkompetenz in diesen Bereichen impliziert.


Duales Studium 2027 - Data Science & Künstliche Intelligenz

Klingenberg am Main, Bayern, Deutschland

The job title explicitly mentions Data Science and Artificial Intelligence as the focus of the dual study program. The description, while brief, confirms this focus.


Duales Studium Data Science und künstliche Intelligenz (B. Sc.) | 2027

Waldenburg, Württemberg, Baden-Württemberg, Deutschland


2027 Duales Studium Data Science & Künstliche Intelligenz

Zweites Deutsches Fernsehen Anstalt des öffentl. Rechts

Mainz am Rhein, Rheinland-Pfalz, Deutschland

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der Titel und die Beschreibung deuten auf eine starke Fokussierung auf KI-Kernkompetenzen hin.


Audi dual - Künstliche Intelligenz

Künstliche Intelligenz
Machine Learning
Deep Learning
Data Science
Python

Der Jobtitel und das Unternehmen deuten stark auf eine Kern-KI-Rolle hin. Die Beschreibung ist zwar kurz, aber der Fokus liegt eindeutig auf KI.


Duales Studium Künstliche Intelligenz

Debeka Kranken- und Lebensversicherungsverein a.G.

Künstliche Intelligenz
Machine Learning
Data Science
Algorithmen
Datenanalyse

Das duale Studium ist explizit auf Künstliche Intelligenz ausgerichtet. Der Titel und die Beschreibung deuten auf eine tiefgreifende Auseinandersetzung mit KI-Themen hin.


Duales Studium Data Science & Künstliche Intelligenz (m/w/d)

Gronau (Westfalen), Nordrhein-Westfalen, Deutschland

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der Titel und die Beschreibung deuten auf einen starken Fokus auf KI/ML hin.


Artificial Intelligence
Machine Learning
AI Engineering
Algorithm Development

The job title explicitly mentions 'Artificial Intelligence Engineer' and the description implies a core focus on AI technologies. The role is directly related to developing and implementing AI solutions.

Artificial Intelligence Engineer (f/m/d) Internettechnologe/-technologin


Applied AI Engineer

LLM
Machine Learning
Deep Learning
NLP
Python
TensorFlow
PyTorch
scikit-learn
MLOps
Multi-Agent Systems
Generative AI
Predictive Modeling

The role explicitly focuses on building and deploying AI/ML/LLM solutions (predictive, generative, agentic) for a core product. The job description heavily emphasizes AI-related tasks and experience.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes…


Member of Technical Staff (Machine Learning Engineer, Search)

Machine Learning
LLMs
RAG
Retrieval
Ranking
Classification
Data Science
MLOps
Model Deployment

The role explicitly focuses on building and improving search technologies using machine learning models, including LLMs and RAG pipelines. The responsibilities are heavily centered around model training, evaluation, and deployment. The required qualifications also emphasize experience in search and recommender systems.

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines…


Member of Technical Staff (AI Researcher)

LLM
Machine Learning
Deep Learning
Python
PyTorch
Reinforcement Learning
SFT
DPO
GRPO
Data Science
Model Training
Model Optimization

The role explicitly focuses on AI research and development, specifically large language models (LLMs) and their application to Perplexity's core products. The responsibilities are heavily centered around model training, optimization, and implementation, indicating a primary focus on AI/ML.

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base model…


Internship - Search Machine Learning Engineer

Machine Learning
Information Retrieval
Ranking
Recommender Systems
Python
PyTorch
TensorFlow
JAX
LLM
RAG
NLP
Data Science

The role explicitly focuses on building and improving search technologies using machine learning models, including retrieval, ranking, and LLM-based approaches. The responsibilities are heavily centered around ML model development, training, and deployment.

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evalua…


Member of Technical Staff (Data Scientist/Engineer, Online Metrics)

Data Science
Machine Learning
LLM
Python
SQL
Statistical Analysis
A/B Testing
Data Pipelines
Data Analysis

The role is explicitly focused on improving the quality of an LLM-first search engine through data science, metric design, and analysis of user interactions. The responsibilities directly involve working with LLMs and building data pipelines to support model training and product decisions.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior. RESPONSIBILITIES - Discover and vali…


Member of Technical Staff (Data Scientist)

Generative AI, Data Science Infrastructure

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

The role is explicitly focused on building AI systems to automate and enhance data science workflows. The description heavily emphasizes AI agents, LLMs, and AI-native approaches. The core responsibilities are centered around AI development and deployment.

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how da…


The role explicitly focuses on building and improving search technologies using machine learning models, including retrieval, ranking, and LLM-based approaches. The responsibilities are heavily centered around ML model development, training, deployment, and evaluation.

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluati…


Member of Technical Staff (ML Engineer, Recommendations & User Modeling)

Recommendation Systems / LLM Applications

Machine Learning
Recommendation Systems
User Modeling
LLMs
Data Science
MLOps
Model Evaluation
Online Experimentation
Data Pipelines

The role explicitly focuses on building and optimizing recommendation systems powered by LLMs, requiring deep ML expertise. The job description heavily emphasizes ML fundamentals, model building, and data foundations for learning and improvement.

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation s…


Machine Learning Intern/Co-op (Fall, 2026)

Generative AI, Natural Language Processing

Machine Learning
Python
TensorFlow
JAX
Transformers
NLP
CUDA
TPU
MLOps
Deep Learning

The role explicitly focuses on designing, training, and improving cutting-edge machine learning models, with a strong emphasis on NLP and large-scale model training. The required and bonus skills are all directly related to core AI/ML technologies.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they…


Lead Data Scientist

Data Science
Machine Learning
Predictive Modeling
Statistical Inference
Experimental Design
Causal Inference
A/B Testing
Python
SQL

The role is explicitly focused on building and deploying AI models, leading experimentation programs, and driving go-to-market strategy for AI products. The core responsibilities are deeply rooted in data science and machine learning.


Applied AI Engineer – Agentic Workflows (Korea)

LLM
Large Language Models
Agentic Workflows
RAG
Prompt Engineering
AI Agents
Machine Learning
Python
Data Science
AI Governance
MLOps

The role explicitly focuses on designing, building, and deploying LLM-powered agents for enterprise customers. The job description heavily emphasizes AI/ML concepts and technologies as the core responsibilities.


Applied AI Engineer - Agentic Workflows (Singapore)

Generative AI, Agentic Systems, LLM Applications

LLMs
LangChain
LangGraph
LlamaIndex
RAG
Prompt Engineering
Python
Machine Learning
NLP
AI APIs
Vector Databases
Agent Workflows

The role explicitly focuses on designing, building, and deploying LLM-powered agents for enterprise customers. The required skills and experience heavily emphasize AI/ML/LLM technologies and concepts. The entire job revolves around AI.


Applied AI Engineer – Agentic Workflows

LLM
RAG
Agentic Architectures
Python
Vector Databases
LangGraph
CrewAI
Machine Learning
AI
Data Science
Prompt Engineering
MLOps

The role explicitly focuses on building and deploying LLM-powered agents for enterprise customers, requiring deep expertise in agentic architectures, LLM orchestration, and evaluation. The job description heavily emphasizes AI/ML concepts and their practical application.


Senior Research Scientist, Model Evaluation

LLM
Machine Learning
Data Science
Model Evaluation
NLP
Python
Software Engineering

The role is explicitly focused on researching, developing, and implementing new evaluation methods for large language models (LLMs). The core responsibilities revolve around advancing the state-of-the-art in LLM evaluation, building tools for model performance analysis, and creating benchmarks to measure LLM capabilities. This is a highly technical and research-intensive role directly centered on AI.


Senior Research Engineer, Model Evaluation

LLM
Machine Learning
Data Science
Model Evaluation
NLP
Data Analysis
Software Engineering

The role is explicitly focused on developing and improving LLM evaluation methods, benchmarks, and infrastructure. The core responsibilities revolve around pushing the state-of-the-art in LLM evaluation, building tools for analysis, and working with LLM judges. This is a highly technical and research-oriented position directly related to core AI/ML concepts.


Senior / Staff Machine Learning Research Scientist, Agents

Machine Learning
LLMs
Pytorch
Jax
Tensorflow
Data Science
Agent Frameworks
RL
NLP
Computer Vision
MLOps

The role is explicitly focused on researching and building AI agents, LLMs, and related data infrastructure. The job description heavily emphasizes ML research, model evaluation, and practical application of AI technologies.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both publ…


Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI

Generative AI, Reinforcement Learning, Data Science

Machine Learning
LLM
RLHF
RLVR
PPO
GRPO
Deep Learning
Data Science
Model Training
Generative AI
MLOps

The role explicitly focuses on building and training state-of-the-art models, researching cutting-edge algorithms, and deploying them to enterprise customers. The job description heavily emphasizes LLMs, RLHF, and other advanced AI/ML techniques.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab wo…


Staff Software Engineer, Enterprise GenAI

LLMs
ML models
Generative AI
Vector Databases
Data Science
MLOps

The role is focused on building and scaling a Generative AI platform, directly interacting with LLMs and ML models. The job description explicitly mentions working with AI technologies as a core responsibility.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and i…


Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI

New York, NY, San Francisco, CA, Seattle, WA

Machine Learning
LLM
Prompt Engineering
Agentic Systems
Data Science
Python
MLOps
Generative AI
Fine-tuning
Reinforcement Learning

The role explicitly focuses on designing, building, and deploying AI agents using LLMs and related technologies. The job description heavily emphasizes AI/ML concepts and their application to real-world enterprise problems.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. About the General Agents Team The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world dep…


Applied AI Engineer, Global Public Sector

Generative AI, LLMs, MLOps, Data Annotation

AI
ML
LLM
Deep Learning
Python
Data Annotation
Model Evaluation
MLOps
Generative AI
Data Science

The role explicitly focuses on building and deploying AI applications, generating training data for LLMs, and upskilling in AI. The required experience includes applying AI/ML in production environments. The core responsibilities are heavily AI-focused.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to deve…


Director, Enterprise Machine Learning & Research

Generative AI, Machine Learning Research

Machine Learning
Deep Learning
Generative Models
LLM
RL
NLP
Data Science
MLOps
AI Research

The role explicitly focuses on leading a team of research scientists and engineers working on GenAI research, defining research roadmaps, and translating research into production systems. The core qualifications heavily emphasize ML/AI expertise and publications in top-tier venues.

The Enterprise ML team works on the front lines of the AI revolution, partnering deeply with customers to identify high-impact business problems and build cutting-edge AI systems using Scale’s proprietary research, data, and infrastructure—unlocking domain expertise through high-quality data and expert feedback. As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing dee…


GenAI Strategic Projects Lead, Public Sector

Generative AI
Large Language Models
LLM
Machine Learning
Data Labeling
MLOps
Supervised Fine-tuning
Reinforcement Learning
Data Pipelines
Data Analysis
Prompt Engineering

The role is explicitly focused on building and managing data pipelines for Generative AI models (LLMs), including SFT and RLHF. The job description heavily emphasizes AI/ML concepts and their application to customer projects.

Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more. Scale AI’s Public Sector team is growing in the Generative AI space, and we’re seeking an Strategic Projects Lead to own high-impact projects that drive revenue and experimentation. In this role, you’ll work across operations, engineering, and customer engagement to produce world-class training and test…


Machine Learning Engineer, Global Public Sector

Generative AI, LLM Applications, AI Infrastructure

Machine Learning
LLM
Agent Design
NLP
Data Science
Model Optimization
AI Safety
Red Teaming
Python
MLOps

The role is explicitly focused on applied AI research, building agentic systems, optimizing models, and evaluating AI performance in critical applications. The job description heavily emphasizes AI/ML/LLM concepts and their practical implementation.

Scale’s mission is to develop reliable AI systems for the world's most important decisions. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division, we don’t just implement tools; we conduct applied research to solve the unique c…


Machine Learning Fellow - Human Frontier Collective (Canada)

Machine Learning
PyTorch
TensorFlow
MLOps
Data Science
Generative AI
Deep Learning
GPU Optimization
NLP
LLM

The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining…


Machine Learning Fellow - Human Frontier Collective (UK)

The role explicitly focuses on designing, evaluating, and optimizing advanced generative AI systems and ML models. The fellow will be directly involved in ML projects, research publications, and advising on AI-related technologies. The description heavily emphasizes AI/ML expertise and application.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI sy…


Machine Learning Fellow - Human Frontier Collective (US)

Machine Learning
PyTorch
TensorFlow
MLOps
Data Science
Generative AI
Deep Learning
GPU Optimization
Langchain

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate,…


Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI

Generative AI, Reinforcement Learning, Data Foundations

Machine Learning
LLMs
Data Science
RL
Python
Deep Learning
Model Training
Data Pipelines
Agent Building
GenAI

The role explicitly focuses on research and development of machine learning models, synthetic data pipelines, and agent building – all core AI/ML activities. The description emphasizes cutting-edge research and contribution to a GenAI product.


Machine Learning Research Engineer, Agents - Enterprise GenAI

Generative AI, Reinforcement Learning, Agents

Machine Learning
LLMs
RLHF
RLVR
PPO
GRPO
Deep Learning
Agent-based AI
Generative AI
Data Science
Model Training
Post-training methods

The role explicitly focuses on researching, building, and training machine learning models, specifically agents powered by LLMs and reinforcement learning. The job description highlights cutting-edge algorithms and applications to enterprise datasets, indicating a core AI function.


Machine Learning Research Scientist, Post-Training

Machine Learning
Deep Learning
Reinforcement Learning
LLM
RLHF
Preference Modeling
Instruction Tuning
Data Curation
Data Analysis
Model Evaluation
Bias Mitigation
Multimodal Models

The role explicitly focuses on research and development of post-training techniques for LLMs, including SFT, RLHF, and reward modeling. The job description highlights the application of these techniques to enhance LLM capabilities and solve core AI problems.

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define…


Machine Learning Research Scientist, Reasoning

Machine Learning
LLM
LLMs
PyTorch
JAX
TensorFlow
NLP
Data Science
MLOps
Agentic Reasoning
Generative AI

The role is explicitly focused on research and implementation of LLM reasoning, with a strong emphasis on data strategy for improving LLM capabilities. The job description details specific AI/ML skills and experience required.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both pub…


Machine Learning Systems Research Engineer, Agent Post-training - Enterprise GenAI

Generative AI, Reinforcement Learning, MLOps

Machine Learning
LLM
RLHF
RLVR
PPO
GRPO
Deep Learning
PyTorch
CUDA
Transformers
Flash Attention
Data Science

The role is explicitly focused on building and optimizing machine learning systems for enterprise generative AI applications, including post-training of LLMs using reinforcement learning techniques. The job description heavily emphasizes AI/ML skills and experience.


Open-Source Machine Learning Engineer - EMEA Remote

Machine Learning
Python
Open Source
Deep Learning
Model Training
Model Deployment

The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to the core of Hugging Face's AI offerings.


Open-Source Machine Learning Engineer - US Remote

Machine Learning
Python
Open Source
Deep Learning
Model Training
Model Evaluation

The role explicitly focuses on machine learning engineering within an open-source context, directly contributing to ML models and frameworks. Hugging Face is a leading AI company.


Staff GenAI Research Scientist - Agents

Natural Language Processing
Information Retrieval
Machine Learning
LLM
Embeddings
RAG
Data Science
Vector Search

The role is explicitly focused on research and development of AI agents, specifically in areas like information retrieval, embeddings, and LLMs. The job description emphasizes advancing the scientific frontier in these areas and driving algorithmic innovations.

Staff GenAI Research Scientist - Agents P-1214 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing…


Staff Machine Learning Engineer

Machine Learning
LLM
GenAI
Data Science
Python
TensorFlow
PyTorch
MLOps
Prompt Engineering
RAG

The role is explicitly focused on developing and deploying GenAI products, enhancing LLM quality, and building AI-driven features. The responsibilities and requirements heavily emphasize ML engineering, LLM technologies, and data science.

P-1504 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…


Staff Software Engineer - GenAI inference

LLM
GenAI
ML inference
CUDA
GPU programming
MLOps
Model Serving
Deep Learning
Data Science
Distributed Systems

The role is explicitly focused on the architecture, development, and optimization of the inference engine for large language models (LLMs). The job description details deep technical requirements related to ML inference internals, GPU programming, and distributed systems – all core AI/ML areas.

P-1285 About This Role As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API.. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems. What You Will Do Own and drive the architecture, design, and implementation of th…


Staff Software Engineer - GenAI Performance and Kernel

Generative AI, Inference Optimization, Kernel Development

CUDA
Triton
LLVM IR
GPU/accelerator architecture
ML-specific kernel libraries
cuBLAS
cuDNN
CUTLASS
oneDNN
Auto-tuning
Quantization
MLOps

The role explicitly focuses on optimizing GPU kernels for GenAI inference, requiring deep expertise in ML, GPU architecture, and performance engineering. The tasks are overwhelmingly centered around AI/ML technologies.

P-1285 About This Role As a staff software engineer for GenAI Performance and Kernel, you will own the design, implementation, optimization, and correctness of the high-performance GPU kernels powering our GenAI inference stack. You will lead development of highly-tuned, low-level compute paths, manage trade-offs between hardware efficiency and generality, and mentor others in kernel-level performance engineering. You will work closely with ML researchers, systems engineers, and product teams to push the state-of-the-art in inference performance at scal…


Staff Software Engineer - Machine Learning (Search)

Machine Learning
NLP
LLM
Data Science
MLOps
Model Evaluation
Query Understanding
Text Mining
Search Relevance

The role explicitly focuses on developing and deploying ML-based search relevance models, NLP pipelines, and evaluating search ranking improvements. The core responsibilities are heavily centered around AI/ML techniques.

P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products . Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we wil…


Senior Specialist Solutions Architect - AI & ML Engineer

ML Engineer
AI Engineer
LLMs
GenAI
MLOps
RAG
Agentic Systems
Vector Databases
HuggingFace
Langchain
OpenAI
Data Engineering

The role explicitly focuses on architecting and building production-grade ML & AI applications, working with GenAI solutions, and optimizing AI workloads. The job description heavily emphasizes hands-on ML/AI experience and technical expertise in relevant technologies.

FEQ327R156 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies…


Senior Staff Applied AI Engineer - Context Retrieval

Mountain View, California; San Francisco, California

Generative AI, Search, Knowledge Retrieval

Information Retrieval
Machine Learning
LLM
RAG
Embeddings
Data Science
Natural Language Processing
Search
AI
Data Indexing
Model Evaluation

The role is entirely focused on building and improving context retrieval systems for AI agents, encompassing all core AI/ML/LLM aspects. The job description explicitly mentions building the retrieval stack, search subagents, and optimizing for LLMs, indicating a primary focus on AI technologies.

P-1549 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. The Mission Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, gene…


Software Engineer - GenAI inference

LLM
GenAI
ML inference
CUDA
GPU programming
MLOps
Model Serving
Data Science
Deep Learning
Distributed Systems

The role is explicitly focused on designing, developing, and optimizing the inference engine for Databricks' Foundation Model API (LLMs). The job description details deep technical work with model architectures, optimization, and distributed systems – all core AI/ML tasks.

P-1284 About This Role As a software engineer for GenAI inference, you will help design, develop, and optimize the inference engine that powers Databricks’ Foundation Model API. You’ll work at the intersection of research and production, ensuring our large language model (LLM) serving systems are fast, scalable, and efficient. Your work will touch the full GenAI inference stack — from kernels and runtimes to orchestration and memory management. What You Will Do Contribute to the design and implementation of the inference engine, and collaborate on model…


Senior Applied AI Engineer

Machine Learning
Deep Learning
MLOps
Model Training
Model Serving
Forecasting
Regression
Classification
Recommendation Systems
Data Science
Statistical Modeling

The role explicitly focuses on building and deploying ML/AI models and systems, improving the performance of AI-powered products, and working with foundational models. The description highlights core AI/ML engineering tasks.

P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression, forecasting, and recommendations, either classical or based on deep learning. From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing bu…


Senior GenAI Research Engineer - Optimization and Kernels

LLM
GenAI
CUDA
PyTorch
Deep Learning
Machine Learning
GPU Optimization
Distributed Training
MLOps

The role explicitly focuses on research and engineering related to GenAI, LLMs, and optimizing training workflows for large models. The tasks are deeply technical and directly contribute to advancing the state-of-the-art in AI.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks…


Senior Machine Learning Engineer - GenAI Platform

Machine Learning
Generative AI
LLM
MLOps
Data Science
Model Training
Model Serving
ML Platform
Distributed Systems

The role is explicitly focused on building a generative AI platform, including all stages of the ML lifecycle (data generation, training, evaluation, serving, agent-building). The job description heavily emphasizes ML and AI technologies.

P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI is committed to the be…


AI Engineer - FDE (Forward Deployed Engineer)

Generative AI, Machine Learning Operations

GenAI
LLMOps
Machine Learning
Data Science
RAG
Fine-tuning
HuggingFace
LangChain
DSPy
PyTorch
MLflow

The role explicitly focuses on building and deploying GenAI applications, working with cutting-edge AI research, and serving as a technical advisor on AI solutions. The required skills and experience are heavily weighted towards AI/ML/Data Science.

CSQ227R47 The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the…


The role explicitly focuses on building and deploying GenAI applications, working with cutting-edge AI research, and serving as a technical advisor on AI solutions. The required skills and experience are heavily weighted towards AI/ML technologies.

AI Engineer - FDE (Forward Deployed Engineer) Location: Germany - Remote Req ID: CSQ327R197 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME)…


GenAI
LLMOps
Machine Learning
RAG
Multi-agent systems
Text2SQL
Fine-tuning
HuggingFace
LangChain
DSPy
PyTorch
Data Science

The role explicitly focuses on building and deploying GenAI applications, working with LLMs, and leveraging ML techniques. The job description highlights expertise in GenAI tools and production deployment, indicating a core AI focus.

CSQ427R172 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to im…


GenAI
LLMOps
Machine Learning
Data Science
RAG
HuggingFace
LangChain
DSPy
PyTorch
MLflow

AI Engineer - FDE (Forward Deployed Engineer) Location: Netherlands - Remote Req ID: CSQ327R197 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (S…


The role explicitly focuses on building and deploying GenAI applications, working with LLMs, and solving customer problems using the latest AI techniques. The job description heavily emphasizes AI/ML expertise and productionization.

CSQ326R35 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to imp…


The role explicitly focuses on building and deploying GenAI applications, working with cutting-edge AI research, and serving as a technical advisor on AI solutions. The job description heavily emphasizes AI/ML skills and experience.

AI Engineer - FDE (Forward Deployed Engineer) Location: France - Remote Req ID: CSQ327R197 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) t…


AI Engineer - FDE (Forward Deployed Engineer) Location: Spain - Remote Req ID: CSQ327R197 Recruiter: Dina Hussain Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) te…


PhD GenAI Research Scientist Intern

Deep Learning
LLM
AI Systems
Machine Learning
PyTorch
Data Science
Model Evaluation
Fine-tuning
Retrieval Augmentation

The role is explicitly focused on research and development of LLMs and AI systems for enterprise applications. The job description details tasks directly related to adapting, improving, and evaluating these models.

Company Description: At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions. The Mosaic AI organization enables companies to develop AI models and systems using their own data, with technologies ranging from fine-tuning LLMs for enterprise domains, to a platform for building compound AI sy…


GenAI
LLMOps
Machine Learning
Data Science
RAG
HuggingFace
LangChain
DSPy
PyTorch
MLflow
Apache Spark

The role explicitly focuses on building and productionizing GenAI applications, serving as a technical advisor on AI, and influencing the product roadmap. The required skills and experience are heavily weighted towards AI/ML/Data Science.

CSQ427R171 Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to im…


AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

PLEASE NOTE : Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply. The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We de…


Research Engineer, Machine Learning (Reinforcement Learning)

Machine Learning
Reinforcement Learning
Python
PyTorch
TensorFlow
JAX
LLM
Data Science
MLOps

The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description heavily emphasizes AI/ML/LLM concepts and techniques.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with signific…


The role is explicitly focused on research and engineering of reinforcement learning for large language models, directly contributing to the core AI capabilities of Anthropic's products. The job description details tasks such as developing RL infrastructure, designing training environments, and improving model reasoning – all central to AI/ML work.


Research Engineer, Machine Learning (RL Velocity)

Machine Learning
RL
JAX
PyTorch
ML infrastructure
Data Science
MLOps

The role is explicitly focused on building and improving RL training infrastructure, directly supporting AI research and model development. The responsibilities center around ML systems and algorithms.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on t…


Machine Learning
RL
JAX
PyTorch
ML infrastructure
Distributed Systems
MLOps

The role is explicitly focused on building and improving RL training infrastructure, directly supporting and accelerating AI research. The responsibilities center around ML models and systems.


Applied AI Engineer, Life Sciences (Beneficial Deployments)

LLM
Prompt Engineering
Agent Architectures
Machine Learning
Data Science
Python
Software Engineering

The role explicitly focuses on building LLM-powered tools and applications within the life sciences domain, working directly with research partners to integrate AI into their workflows. Responsibilities center around AI infrastructure, agent development, and addressing challenges specific to AI deployment in this field.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in educati…


Machine Learning Systems Engineer, Research Tools

Machine Learning
Tokenization
Data Pipelines
ML Infrastructure
Python
Data Encoding
BPE
WordPiece
Large Language Models
Transformer Architectures
MLOps

The role is explicitly focused on developing and optimizing core components of LLM training pipelines (tokenization, encodings). The responsibilities directly involve ML systems, data processing, and model performance. The company's mission is centered around AI.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the en…


Applied AI Engineer

LLM
Prompt Engineering
Python
Machine Learning
AI
NLP
Agent Development
Evaluation Frameworks
MLOps

The role is explicitly focused on deploying and advising customers on the use of LLMs, requiring deep technical expertise in LLM implementation, prompt engineering, and evaluation. The responsibilities center around AI products and workflows.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to customers as they adopt Claude. You will work closely with customer product and…


Data Scientist, Safeguards

Python
SQL
Data Visualization
Data Science
Machine Learning
Experimentation
Data Analysis
Statistical Modeling

The role is explicitly focused on building and scaling a data-driven culture to ensure safe and beneficial AI. The responsibilities center around analyzing user behavior related to safety, defining key metrics for success, and building systems to improve product safety. The company's core mission is AI safety.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scal…


People Research Data Scientist, AI Fairness & Bias

Machine Learning
Data Science
Algorithmic Fairness
Bias Measurement
Statistical Modeling
Python
R
SQL
Data Analysis
Experimentation
Causal Inference
Model Evaluation

The role is explicitly focused on AI fairness, bias testing, and evaluation of AI-assisted systems. The job description details extensive work with ML models, data analysis, and building evaluation infrastructure. This is a core AI research and application role.

ABOUT THE TEAM OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. ABOUT THE ROLE As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous a…


Data Scientist, Core Experimentation

Data Science
Machine Learning
Causal Inference
Statistical Modeling
Experimentation
Python
Data Analysis
MLOps
Data Pipelines

The role is explicitly focused on building and improving OpenAI's core experimentation platform for AI products, requiring deep expertise in statistical rigor, causal inference, and ML experimentation. The tasks are overwhelmingly centered around AI/ML methodologies.

About the Team The Statsig team at OpenAI https://openai.com?utm_source=chatgpt.com builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and…


Data Scientist, Safety

Data Science
Machine Learning
Causal Inference
Statistical Modeling
Python
SQL
Data Analysis
Model Evaluation
AI Safety
NLP

The role is explicitly focused on building analytical foundations for responsible AI deployment, evaluating and improving safety systems, and quantifying safety risks. The tasks directly involve applying data science and ML techniques to address core AI safety challenges.

About the Team OpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI systems scale globally. We tackle some of the company’s most important challenges across understanding and preventing misuse and misalignment, intercepting fraud and abuse, and protecting vulnerable users. We are hiring Data Scientists to help build the analytical foundations that allow OpenAI to deploy increasingly capable AI responsibly. This is a high-impact role operating at the intersection of product, safety, policy, and research. About…


Data Scientist, Safety

Data Science
Machine Learning
Causal Inference
Statistical Modeling
Python
SQL
Data Analysis
Experimentation
Model Evaluation
NLP

The role is explicitly focused on building analytical foundations for responsible AI deployment, evaluating and improving safety classifiers, and quantifying safety risks. The job description heavily emphasizes AI/ML-related tasks and requires expertise in areas directly tied to AI safety and model evaluation.


Data Scientist, Preparedness

Data Science
Machine Learning
Python
SQL
Model Evaluation
Classification
Data Analysis
Causal Inference
Observational Inference
Monitoring Systems
Risk Assessment
Threat Modeling

The role is explicitly focused on building, evaluating, and improving mitigations for harms from AI systems. It requires deep technical skills in data science, machine learning, and model evaluation, with a strong emphasis on identifying and addressing risks associated with frontier AI models. The job description clearly centers around AI-specific tasks.

About the Team The Preparedness team is an important part of the Safety Systems https://openai.com/safety/safety-systems org at OpenAI, and is guided by OpenAI’s Preparedness Framework https://openai.com/index/updating-our-preparedness-framework/. Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and prepa…


Applied AI Engineer, Codex Core Agent

Machine Learning
LLM
Prompt Engineering
Model Evaluation
Python
Data Analysis
MLOps

The role is explicitly focused on building and improving AI agents (Codex), working directly with LLMs, and turning research into production systems. The tasks described are overwhelmingly centered around AI/ML concepts.

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that…


Data Scientist, Codex

Generative AI, Developer Tools, Code Generation

Data Science
SQL
Python
Experiment Design
Causal Inference
NLP
LLMs
Machine Learning
Data Analysis
Statistical Modeling

The role is explicitly focused on measuring and improving AI developer tools (Codex), running experiments on coding models, and defining metrics related to developer productivity with AI assistance. The core responsibilities are deeply rooted in AI/ML concepts and their application to a product.

ABOUT THE TEAM Codex is OpenAI’s first-party developer product focused on agentic software engineering. We’re building tools that help engineers design, write, test, and ship code faster—safely and at scale. We partner tightly with research and product to translate model advances into tangible developer productivity. ABOUT THE ROLE As a Data Scientist on Codex, you will measure and accelerate product-market fit for AI developer tools. You’ll define what “developer productivity” means for our product, run experiments on new coding models and UX, and pinp…


Data Scientist, Platform and B2B Products

Generative AI, Platform Engineering, B2B Products

Data Science
SQL
Python
A/B Testing
Machine Learning
NLP
LLMs
Data Analysis
Metrics Definition
Experiment Design

The role is explicitly focused on driving a data-driven culture for OpenAI's API and B2B solutions, measuring the impact of new models, and improving model quality. It requires deep expertise in data science, experimentation, and metrics related to AI models and their performance. The candidate will directly impact the adoption and improvement of agentic AI.

ABOUT THE TEAM OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. ABOUT THE ROLE As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the…


Data Scientist, Safety Systems

Data Science
Machine Learning
Statistical Modeling
NLP
LLM
Generative AI
Causal Analysis
Data Analysis
Metrics Definition
MLOps

The role is explicitly focused on the safety of AI models, developing metrics to evaluate them, and providing data-driven insights for improvement. The job description heavily emphasizes AI/ML concepts and their application to real-world safety concerns.

About the Team The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world. Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy. Learn more about OpenAI’s approach to safety https://openai.com/safety/ About the Role As a Data Scientist…


Machine Learning Engineer, Distributed Data Systems - Robotics

Machine Learning
Data Pipelines
Distributed Systems
Data Orchestration
MLOps
Multimodal Training
Data Infrastructure

The role is explicitly focused on building the data infrastructure to support large-scale AI/ML training and evaluation within a leading AI research company (OpenAI). The description heavily emphasizes AI-related tasks and technologies.

About the Team The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role As a Research Engineer, Distributed Data Systems, you will design and scale the infrastructure that powers large-scal…


Machine Learning Engineer, Integrity

Machine Learning
Deep Learning
LLM
Transformers
PyTorch
TensorFlow
Data Science
MLOps
NLP
Data Pipelines
Model Optimization

The role explicitly focuses on designing, deploying, and optimizing machine learning models, specifically LLMs, for content understanding and abuse prevention. The core responsibilities are deeply rooted in AI/ML engineering.

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the oppo…


Data Scientist, Product

Data Science
A/B Testing
SQL
Python
Machine Learning
NLP
LLM
Generative AI
Data Analysis
Statistical Modeling

The role is explicitly focused on data-driven product development for OpenAI's AI products (ChatGPT, API, Sora). The job description heavily emphasizes A/B testing, metric definition, and analysis to improve AI model performance and user experience. The candidate is expected to work directly with product and engineering teams to drive impact through data.

About the Team Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT https://openai.com/chatgpt/overview/, API https://openai.com/api/, Sora https://openai.com/sora/), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As A…


Applied AI Engineer - AI Solutions

Machine Learning
LLM
GenAI
RAG
Python
Data Science
MLOps
Prompt Engineering
Natural Language Processing
Computer Vision
Data Modeling
Deep Learning

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 their application to real-world problems.

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…


Forward Deployed AI Engineer, West

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.

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…


Freiburg im Breisgau, Baden-Württemberg, Deutschland

NLP
Generative AI
Machine Learning
Python
Deep Learning

The job title explicitly mentions 'AI', 'NLP', and 'Generative AI'. The description focuses on R&D within these areas, indicating a core AI role.

Senior AI Engineer (R&D)– NLP & Generative AI (d/m/w) 80–100% Softwareentwickler/in


NLP
Generative AI
Machine Learning
Deep Learning
Python
Softwareentwicklung

Der Jobtitel und die Beschreibung konzentrieren sich direkt auf die Entwicklung von NLP- und generativen KI-Modellen. Die Rolle ist klar auf KI-Forschung und -Entwicklung ausgerichtet.


Garching an der Alz, Bayern, Deutschland

LLM
Multi-Agent Systems
Machine Learning
Artificial Intelligence
Software Engineering

The job title and description explicitly focus on developing an LLM-based multi-agent system, indicating a core AI/ML focus. The required field of study is Artificial Intelligence and Machine Learning.

Working Student (f/m/d) LLM-based Multi-agent System for Software Engineering Bachelor Professional - Künstliche Intelligenz und Maschinelles Lernen


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


Data Science
Machine Learning
AI
Recommendation Systems
Python
Statistical Modeling

The job title and description explicitly mention 'Data Scientist' and focus on 'Vendor Recommendations & AI'. This indicates a core focus on applying data science and AI techniques to build and improve recommendation systems.

Principal Data Scientist - Vendor Recommendations & AI Data Scientist


Data Science
Machine Learning
Statistical Modeling
Data Analysis
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.

IBM Client Innovation Center Germany GmbH: Data Scientist (m/w/d) Data Scientist


Data Science
Machine Learning
AI
Software Engineering

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich Data Science und AI hin. Die explizite Nennung von 'Data Scientist AI' und die Verbindung mit Mercedes-Benz (Automotive) implizieren eine tiefgreifende Anwendung von KI-Technologien.

Senior Software Engineer / Data Scientist AI (d/m/w/x) Data Scientist


AI
GenAI
Machine Learning
AI Architecture
LLM

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI und GenAI hin. Die explizite Nennung von 'AI & GenAI Architect' und 'KI-Engineer' unterstreicht dies.

NTT DATA Deutschland SE: Senior AI & GenAI Architect (w/m/x) KI-Engineer


Machine Learning
Software Engineering
MLOps
Python

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich direkt mit der Entwicklung und Implementierung von Machine Learning Modellen befasst. Der Fokus liegt auf 'Machine Learning' und 'Intelligente Einkaufsbegleitung', was auf einen Kernbezug zu KI hinweist.

Machine Learning Software Engineer - Persönliche & Intelligente Einkaufsbegleitung (w/m/d) Machine Learning Engineer


Machine Learning Engineer (w/m/d)

Machine Learning
MLOps
Python
Data Modeling
Algorithm Development

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich Machine Learning hin. Der Fokus liegt auf der Entwicklung und Implementierung von ML-Modellen.

Machine Learning Engineer (w/m/d) Ingenieur/in - Automatisierungstechnik


Strategic Applied AI Solutions Consultant

Process Intelligence, Generative AI, Agentic Systems

Machine Learning
LLM
RAG
Python
LangChain
Data Engineering
Prompt Engineering
AI Solutioning
MLOps

The role explicitly focuses on building AI solutions, prototyping with LLMs, and deploying AI agents. The core responsibilities revolve around AI/ML technologies and their application to business problems. The requirements clearly state experience with AI roadmaps, ML solutions, and generative AI techniques.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes…


Member of Technical Staff (Machine Learning Research Engineer)

Machine Learning
Deep Learning
PyTorch
RAG
LLMs
Representation Learning
Contrastive Learning
Multilingual Modeling
Multimodal Modeling
Search
Retrieval
Ranking

The role explicitly focuses on building and optimizing core components of a search platform using advanced ML models (LLMs, deep learning). The responsibilities and qualifications heavily emphasize AI/ML research, development, and deployment.

Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available - Architect and build core components of the search platform and model stack - Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardwa…


Machine Learning Systems Engineer, RL Engineering

Machine Learning
Reinforcement Learning
LLM
RLHF
Python
Data Science
MLOps
Distributed Systems

The role is explicitly focused on building and improving systems for training large language models using reinforcement learning. The job description details tasks directly related to ML algorithms, infrastructure, and model finetuning.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build the cutting-edge systems that train AI models like Claude. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more c…


Research Engineer, Model Evaluations

Machine Learning
Large Language Models
Data Visualization
Data Pipelines
Model Evaluation
MLOps
Python
Data Science

The role is explicitly focused on evaluating and improving large language models (Claude), building evaluation infrastructure, and monitoring model health. The core responsibilities directly involve AI/ML concepts and techniques.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for Research Engineers to build the evaluations that tell us — and the world — what Claude can actually do. Your work will turn ambiguous notions of "intelligence" into clear, defensible metri…


Data Scientist/Engineer (m/w/d)

Data Science
Machine Learning
Data Engineering
Python
Statistical Modeling

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

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


Data Scientist/Engineer (m/w/d)


Distinguished Engineer

Enterprise AI, Generative AI, AI Infrastructure

AI/ML Infrastructure
Generative AI
ML Models/Algorithm Design
Distributed Systems
Data Infrastructure
Mentoring in AI Engineering
Technical Leadership in AI

Die Rolle eines Distinguished Engineers bei Scale AI ist stark auf die Gestaltung und Weiterentwicklung von AI/ML-Infrastruktur und dem Scale GenerativeAI Platform (SGP) ausgerichtet. Die Verantwortlichkeiten umfassen die technische Strategie, Architektur, Integration neuer Technologien und die Führung in komplexen AI-Systemen. KI ist hier der überwiegende Kern der Tätigkeit.

Job Description: Distinguished Engineer, Enterprise AI About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role We’re seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI appli…


Frontier Agent Engineering Manager

Enterprise Generative AI Platform (SGP), AI deployment, AI product development

Generative AI
AI deployment
Model behavior understanding
AI-powered systems
MLOps
Scalable AI architecture

Die Rolle ist stark auf die Entwicklung, Deployment und Optimierung von Generative AI-Lösungen in Produktionsumgebungen ausgerichtet. Der Engineering Manager leitet ein Team, das direkt an der Umsetzung von AI-Initiativen in Kundenunternehmen arbeitet, wobei KI/ML/LLM der überwiegende Kerninhalt der Arbeit ist.

At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI . As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into produc…


Principal Architect

LLMs
AI agents
agentic AI
AI/ML technologies
large-scale distributed systems

Die Rolle des Principal Architects beinhaltet klare, überwiegende Verantwortung für die Gestaltung und Entwicklung agenter AI-Produkte. Die Aufgaben beinhalten tiefgehende Arbeit mit LLMs, AI agents und skalierbaren Systemen, was den Kern der Rolle darstellt. Die Erfahrung mit modernen AI/ML-Technologien ist explizit gefordert.

Principal Architect Location: Washington, DC About the Role We are seeking a Principal Architect to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment. In this role, you will lead a team of 50+ engineers, providing both strategic and technical guidance. You’ll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements. What You’ll Do Team Leadership: Lead and mentor a high-performing engineering team of 80…


Senior Data Scientist AI Tooling

AI-powered GTM tools, LLM application, data science for business impact

LLM application
ML model development
RAG (Retrieval-Augmented Generation)
Prompt engineering
Vector search
Model evaluation
AI tooling development
Data science
Python
SQL
Data orchestration (Airflow, DBT)

Die Rolle beinhaltet die Entwicklung und Bereitstellung von AI-gestützten internen Tools für GTM-Use-Cases, mit Fokus auf LLM-Anwendung, Prompt-Design, Modellentwicklung und Evaluierung. Der Senior Data Scientist ist direkt für die Umsetzung von KI-Lösungen verantwortlich, die in Produktion gehen und messbaren Geschäftsimpact erzielen.

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 Data Scientist AI Tooling

Applied AI for GTM (Go-To-Market) workflows, LLM-powered internal tools

LLM application
prompt engineering
RAG
vector search
model evaluation
AI tooling
data modeling
MLOps (via orchestration tools)
Python
SQL

Die Rolle beinhaltet die Entwicklung und Bereitstellung von AI-gestützten Tools, die tief in LLM-Anwendungen, Prompt-Design und Modellbewertung eingebettet sind. Der Senior Data Scientist ist direkt für die Entwicklung von AI-Modellen und deren Integration in Geschäftsprozesse verantwortlich, was einen überwiegenden technischen KI-Kern darstellt.


Machine Learning
Modellentwicklung
Datenanalyse
Algorithmen

Der Jobtitel 'ML Engineer' deutet direkt auf Machine Learning hin. Die Rolle ist mit hoher Wahrscheinlichkeit auf die Entwicklung und Implementierung von ML-Modellen ausgerichtet, was einen überwiegenden KI-Kern beinhaltet.

ML Engineer (m/w/d) - Full Remote möglich Machine Learning Engineer


Machine Learning Research Engineer, GenAI Applied ML

Applied Machine Learning, GenAI, Agent Systems

Machine Learning
LLMs
Multi-agent systems
Agentic reasoning
AI tools
MLOps
PyTorch
TensorFlow
JAX
scikit-learn
Research engineering

Die Rolle ist klar auf die Entwicklung und Anwendung von agilen LLMs, Multi-Agent-Systemen und deren Validierung ausgerichtet. Der Fokus liegt auf Forschung, Produktionssystemen und der Integration in eine AI-Plattform. Die Anforderungen beinhalten tiefes technisches Wissen in ML, LLMs und praktische Erfahrung im Deployment solcher Systeme.

About This Role Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to acceler…


Senior AI Product Engineer, Fullstack

AI & ML Observability, LLM Evaluation, AI Agent Engineering

AI Observability
LLM Workflows
Machine Learning
Distributed Systems
Data Visualization
Dimensionality Reduction
Prompt Engineering
AI Agent Development

Die Rolle ist zentral an der Entwicklung und Optimierung von AI-Beobachtbarkeitsplattformen und LLM-Workflows ausgerichtet. Der Senior AI Product Engineer arbeitet direkt an skalierbaren, verteilten Diensten, die ML-Modelle und Agenten überwachen, visualisieren und evaluieren. Die Aufgaben beinhalten die Entwicklung von APIs, die Integration von LLM-Systemen und die Forschung zu Visualisierungs- und Reduktionsalgorithmen in verteilten Umgebungen. Die KI ist ein überwiegender Kern der Rolle.

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…


Senior Generative AI Engineer (m/w/d)

Essenbach, Niederbayern, Bayern, Deutschland

Generative AI
Machine Learning
Natural Language Processing
Deep Learning
Model Training
AI Development

Der Jobtitel 'Senior Generative AI Engineer' deutet direkt auf KI-orientierte Arbeit hin. Generative AI ist ein Kernbereich der KI, und die Rolle ist vermutlich stark auf die Entwicklung und Implementierung von KI-Modellen ausgerichtet.

Senior Generative AI Engineer (m/w/d) Informatiker/in


Der Jobtitel erwähnt explizit 'Enterprise AI Engineer - GenAI & LLM', was auf eine zentrale Rolle in der Entwicklung und Anwendung von KI-Systemen, insbesondere Generativer KI und Large Language Models, hindeutet. Die Anforderungen und der Titel legen nahe, dass KI/AI der überwiegende Kern der Tätigkeit ist.

Enterprise AI Engineer - GenAI & LLM (m/f/d) Informatiker/in


Ulm, Donau, Baden-Württemberg, Deutschland

Generative AI
Agentic AI
Machine Learning
Natural Language Processing
AI Modellentwicklung

Der Jobtitel und die Bezeichnung 'Generative AI / Agentic AI Engineer' deuten klar auf eine Rolle hin, die sich mit der Entwicklung und Forschung in den Bereichen Generative KI und Agentic KI beschäftigt. Dies sind zentrale Themen der KI-Entwicklung.

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


Machine Learning
MLOps
Predictive Maintenance
Modellentwicklung
Modelldeployment
Data Science

Der Jobtitel und die Bezugnahme auf 'Machine Learning Engineer', 'Predictive Maintenance' und 'MLOps' zeigen klar auf, dass KI und ML zentrale Bestandteile der Rolle sind. Die Aufgaben beinhalten wahrscheinlich Modellentwicklung, -optimierung und -deployment, was überwiegend technische KI-Arbeit darstellt.

Machine Learning Engineer (m/w/d) - Predictive Maintenance und MLOps Machine Learning Engineer


KI-Engineering, Machine Learning, Computer Vision

Computer Vision
MLOps
Machine Learning
AI-Modellentwicklung
Modelldeployment
Data Science

Der Jobtitel und die genannten Schwerpunkte (Computer Vision, MLOps) zeigen klar auf, dass KI und Machine Learning der überwiegende Kern der Rolle sind. Der Titel 'AI Engineer' und die Verbindung zu MLOps deuten auf eine technisch tiefgehende Tätigkeit im Bereich KI hin.

AI Engineer (m/w/d) - Computer Vision und MLOps Machine Learning Engineer


AI Evaluation and Safety for Government and Mission-Critical Systems

Machine Learning
LLMs
Model Evaluation
Automated Evaluation Pipelines
AI Safety
Robustness Testing
Red Teaming
NLP
Computer Vision
Reinforcement Learning
MLOps

Die Rolle beinhaltet die Entwicklung und Skalierung automatisierter Evaluationspipelines für ML-Modelle, insbesondere LLMs, sowie Sicherheits- und Robustheitstests. Die Aufgaben sind stark auf die Bewertung und Sicherstellung von KI-Systemen ausgerichtet, was einen überwiegenden technischen und konzeptionellen KI-Kern darstellt.

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal m…


Senior Machine Learning Engineer, Public Sector

Machine Learning Engineering, Generative AI, Computer Vision, Agentic Systems

Generative AI
Computer Vision
Reinforcement Learning
Agentic AI
Large Language Models (LLMs)
Deep Learning
NLP
ML Model Deployment
MLOps
Model Evaluation
Fine-tuning Pipelines
Vision Foundation Models

Die Rolle eines Senior Machine Learning Engineers ist klar auf die Entwicklung, Optimierung und Bereitstellung von KI-Modellen ausgerichtet, insbesondere in den Bereichen Generative AI, Computer Vision und Agentic AI. Die Aufgaben beinhalten die Arbeit mit LLMs, Reinforcement Learning, Modellfeinabstimmung, Evaluierung und Infrastruktur für ML-Dienste. Der Fokus liegt auf produktionsnaher KI-Entwicklung und Forschung in Mission-Critical-Systemen.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Dono…


Senior Staff Machine Learning Engineer, Agentic Product - Moveworks

Machine Learning
Agentic Systems
MLOps
Modellentwicklung
KI-Produktentwicklung

Der Jobtitel und der Kontext (Moveworks, ServiceNow AI) deuten klar auf eine Rolle hin, die sich mit der Entwicklung agenterischer KI-Produkte beschäftigt. Als Senior Staff Machine Learning Engineer ist die Rolle stark auf ML und KI-Produktentwicklung ausgerichtet.


Machine Learning / KI-Plattformentwicklung

Machine Learning
Agentic Systems
MLOps
Modellentwicklung
KI-Plattformen

Der Jobtitel 'Staff Machine Learning Engineer, Agentic App Platform' deutet klar auf eine zentrale Rolle im Bereich Machine Learning und agenter KI-Plattformen hin. Die Bezeichnung 'Staff' unterstreicht die technische Führungsfunktion, und 'Agentic App Platform' legt nahe, dass es um die Entwicklung von KI-gestützten Anwendungen geht.


Computer Vision
MLOps
KI-Modellentwicklung
Maschinelles Lernen
Modelldeployment
KI-Optimierung

Der Jobtitel und die genannte Tätigkeit (Computer Vision & MLOps) zeigen klar auf, dass KI-technische Kernkompetenzen wie Modellentwicklung, Deployment und Optimierung im Vordergrund stehen. Der Bezug zu KI ist direkt und überwiegend.

AI Engineer (m/w/d) - Computer Vision & MLOps Informatiker/in (Weiterbildung)


Essen, Ruhr, Nordrhein-Westfalen, Deutschland

Der Jobtitel und die genannte Tätigkeit (Computer Vision & MLOps) zeigen klar auf, dass KI und ML zentrale Bestandteile der Rolle sind. Der Fokus liegt auf der Entwicklung, Optimierung und Bereitstellung von KI-Modellen, was einen überwiegenden KI-bezogenen Kern belegt.


Der Jobtitel und die genannte Tätigkeit (Computer Vision & MLOps) zeigen klar auf, dass KI-technische Kernkompetenzen im Fokus liegen. Die Rolle umfasst die Entwicklung, Optimierung und Deployment von KI-Modellen, was als überwiegend technisch/konzeptionell gilt.


Der Jobtitel und die genannte Tätigkeit (Computer Vision & MLOps) zeigen klar auf, dass KI-technische Kernkompetenzen wie Modellentwicklung, Deployment und Optimierung im Vordergrund stehen. Der Titel 'AI Engineer' deutet auf eine technisch tiefgehende Rolle hin.


Der Jobtitel und die genannte Tätigkeit (Computer Vision & MLOps) zeigen klar auf, dass KI-technische Kernkompetenzen wie Modellentwicklung, Deployment und Optimierung im Vordergrund stehen. Der Bezug zu MLOps und Computer Vision unterstreicht den technischen und konzeptionellen KI-Kern.


Computer Vision
MLOps
KI-Modellentwicklung
KI-Modelldeployment
KI-Modelloptimierung

Der Jobtitel und die genannten Schwerpunkte (Computer Vision & MLOps) deuten klar auf eine Rolle hin, in der KI-Entwicklung und -betrieb im Vordergrund stehen. Der Titel 'AI Engineer' und die Erwähnung spezifischer KI-Disziplinen wie Computer Vision und MLOps legen nahe, dass KI der überwiegende Kern der Tätigkeit ist.


Der Jobtitel und die Beschreibung beziehen sich direkt auf Machine Learning und MLOps, mit Fokus auf Predictive Maintenance. Die Tätigkeit umfasst offensichtlich die Entwicklung, Optimierung und Betrieb von ML-Modellen, was einen klaren Kernbezug zu KI/ML-Arbeit darstellt.

Machine Learning Engineer (m/w/d) - Predictive Maintenance & MLOps Informatiker/in (Weiterbildung)


Der Jobtitel und die Beschreibung beziehen sich direkt auf Machine Learning und MLOps, was auf eine überwiegend technische und konzeptionelle Arbeit im Bereich KI hindeutet. Der Fokus auf Predictive Maintenance unterstreicht die zentrale Rolle von KI/ML in dieser Position.


Der Jobtitel und die Beschreibung beziehen sich direkt auf Machine Learning und MLOps, was auf eine überwiegend technische und konzeptionelle Arbeit im Bereich KI/ML hindeutet.


Bachelor of Science (B. Sc.) (w/m/d) - Data Science & Künstliche Intelligenz - 2026

Der Jobtitel bezeichnet einen Studiengang mit Fokus auf Data Science und Künstliche Intelligenz, was darauf hindeutet, dass KI/AI der überwiegende Kerninhalt des Studiums ist.


Der Jobtitel 'Staff Machine Learning Engineer, Agentic Product' deutet klar auf eine führende Rolle in der Entwicklung von KI-basierten Produkten hin. Der Begriff 'Agentic Product' legt nahe, dass es um agentenbasierte KI-Systeme geht, was ein technisch-konzeptionelles KI-Fachgebiet ist. Die Rolle ist daher überwiegend KI-orientiert.


Senior Machine Learning Engineer, Agentic App Platform - Moveworks

Machine Learning
Agentic App Development
MLOps
Model Engineering
AI Platform Development

Der Jobtitel 'Senior Machine Learning Engineer' deutet bereits auf eine zentrale Rolle im Bereich KI hin. Die Erwähnung von 'Agentic App Platform' und dem Unternehmen 'ServiceNow AI' unterstreicht den Fokus auf KI-basierte Anwendungen. Die Rolle ist offensichtlich auf die Entwicklung und Integration von KI-Modellen und -plattformen ausgerichtet.