Senior Machine Learning Engineer, Agentic Systems - Moveworks

Machine Learning
Agentic Systems
MLOps
Modellentwicklung
KI-Systemarchitektur

Der Jobtitel 'Senior Machine Learning Engineer, Agentic Systems' deutet direkt auf eine Rolle hin, die sich mit der Entwicklung und Optimierung von KI-Systemen beschäftigt. Der Fokus auf 'Agentic Systems' legt nahe, dass es um fortgeschrittene KI-Systeme geht, die autonom handeln können. Dies ist ein klarer Hinweis auf eine Rolle im Kernbereich der KI/ML.


Applied AI Engineer, Enterprise

Applied AI, Generative AI, Enterprise AI Solutions

Machine Learning
Generative AI
LLMs
MLOps
Python
Cloud ML (AWS/GCP)
Data-Driven Model Iteration
AI Agent Development
Multimodal AI
Tool-Calling

Die Rolle eines Applied AI Engineers bei Scale AI ist stark auf die Entwicklung und Optimierung von ML-Modellen und AI-Agenten ausgerichtet. Die Aufgaben beinhalten die direkte Arbeit mit KI-Modellen, die Anwendung von Forschungsergebnissen, die Entwicklung von Lösungen für komplexe AI-Probleme und die Integration in Produktionsumgebungen. Die Anforderungen beinhalten tiefes Wissen in ML, Python, Cloud-ML und datengetriebene Modellanpassung, was auf eine überwiegend technische KI-Arbeit hindeutet.

AI is becoming vitally important in every function of our society. At Scale, 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 usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines o…


Senior Forward Deployed Data Scientist/Engineer

AI Deployment, ML Systems, Data Products

Machine Learning
LLM Evaluation
Statistical Modeling
Data Science
AI Deployment
MLOps
Experimentation
Causal Inference
Model Monitoring
AI-Assisted Development

Die Rolle beinhaltet umfassende Arbeit mit ML/LLM-Systemen, Evaluation-Frameworks, statistischer Modellierung, Deployment und Produktentwicklung. Der Fokus liegt auf der Entwicklung und Bereitstellung von AI-gestützten Lösungen, die in Produktion genutzt werden. Die Aufgaben umfassen den gesamten Lebenszyklus von ML-Systemen, von der Modellentwicklung bis zur Überwachung und Iteration.

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment. This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, o…


Tech Lead/Manager, Machine Learning Research Scientist- LLM Evals

Generative AI, LLM Evaluation, NLP, AI Research

Large Language Models (LLMs)
Machine Learning Research
NLP
Transformer Modeling
Evaluation Methodologies
Benchmarking
MLOps
Research Leadership
ML Frameworks
AI Conferences Publication

Die Rolle ist klar auf die Forschung und Entwicklung von Evaluationsmethoden für LLMs ausgerichtet. Die Aufgaben beinhalten die Entwicklung von Benchmarks, Metriken und Pipelines, wobei der Fokus auf KI-technologien wie NLP, Transformers und LLMs liegt. Die Rolle ist zentral für die Weiterentwicklung von AI-Modellen und setzt wissenschaftliche Standards.

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


Senior AI Developer (Agentic AI and Generative AI)

Agentic AI
Generative AI
KI-Entwicklung
Machine Learning
LLMs
MLOps

Der Jobtitel und das Unternehmen (SAP AI) deuten klar auf KI-bezogene Arbeit hin. Die Schwerpunkte Agentic AI und Generative AI sind zentrale Bereiche der KI-Entwicklung, was auf eine überwiegend technische und konzeptionelle KI-Arbeit hindeutet.


AI Engineer (m/w/d) / 44212

Machine Learning
KI-Modellentwicklung
Algorithmendesign
Datenanalyse
Modelltraining

Der Jobtitel 'AI Engineer' und der alternative Titel 'Machine Learning Engineer' deuten bereits auf eine zentrale Rolle im Bereich KI hin. Die Beschreibung erwähnt explizit 'Machine Learning Engineer', was auf eine überwiegend technische und konzeptionelle Arbeit im Bereich KI/ML hindeutet.

AI Engineer (m/w/d) / 44212 Machine Learning Engineer


Principal AI Deployment Architect

AI Deployment, Machine Learning, Generative AI, Process Intelligence

Python
LLM-based architectures (RAG)
Machine Learning
AI Agents
Generative AI (LLMs)
predictive ML
AI solutions
scalable architectures
Process Intelligence
automation capabilities

Die Rolle des Principal AI Deployment Architects umfasst die Entwicklung, Skalierung und Einbindung von AI-Lösungen, insbesondere mit Fokus auf LLMs, Machine Learning und Prozessintelligenz. Die Aufgaben sind stark auf die konzeptionelle und praktische Umsetzung von KI-Technologien ausgerichtet, sowohl in der Kundenberatung als auch in der Produktentwicklung.

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…


Senior Data Scientist, AI Products

Data Science
Machine Learning
AI/ML
Data Analysis
Experiment Design
Data-Driven Insights
MLOps
Product Roadmap Influence

Die Rolle ist explizit als Senior Data Scientist in einem AI-Produktbereich definiert. Die Verantwortlichkeiten beinhalten die Entwicklung von AI/ML-Kapazitäten, tiefgehende Datenanalysen, Experimente, und die Einflussnahme auf Produktstrategien. Es handelt sich um eine technisch anspruchsvolle Rolle mit klarem Fokus auf KI/ML.

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


Senior Data Scientist, AI Products

Die Rolle ist explizit als Senior Data Scientist in einem AI-Produktbereich definiert. Die Verantwortlichkeiten beinhalten die Entwicklung von AI/ML-Kapazitäten, tiefgehende Datenanalysen, Experimente, Einfluss auf Produktstrategien und die Zusammenarbeit mit Data Science-Teams. KI ist hier ein zentraler und überwiegender Bestandteil.


Machine Learning Software Engineer

Machine Learning
Deep Learning
Perception Systems
Planning/Prediction Systems
Model Deployment
Model Optimization
C++
Python
ML/DL Frameworks
Autonomous Vehicles

Der Jobtitel ist 'Machine Learning Software Engineer' und die Beschreibung beinhaltet klare, überwiegende KI-Arbeiten im Bereich autonomer Fahrzeuge. Die Aufgaben beziehen sich auf ML-Perzeption, Planung, Modellentwicklung, Deployment und Optimierung. Erfahrung mit Deep Learning, autonomer Fahrzeugsoftware und Produktionsumgebungen ist explizit gefordert.

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust…


Sensor Sim - ML Engineer

Sensor Simulation and Autonomous Systems

machine learning
generative models
sensor simulation
agentic system design
3D geometry
optical flow
video generation

Die Rolle beinhaltet die Entwicklung und Anwendung moderner maschineller Lernverfahren in Produktionsumgebungen, insbesondere im Bereich Sensor-Simulation. Der Fokus liegt auf generativen Modellen, Zusammenarbeit mit Forschungsteams und der Umsetzung in produktionstaugliche Lösungen. Die Anforderungen beinhalten tiefes Verständnis für ML-Grundlagen und konkrete Erfahrung mit Evaluierung und Optimierung großer generativer Modelle.


Embedded AI Engineer – Android Automotive (On-Device Intelligence)

On-device AI, Android Automotive, Embedded Systems

Model optimization (quantization, pruning)

Die Rolle beinhaltet die gesamte Lebenszyklusverwaltung von eingebetteten ML-Systemen, die Optimierung und Bereitstellung von LLMs auf Android Automotive, sowie Sicherheits- und Leistungsaspekte von KI-Modellen unter realen Einschränkungen. KI ist der überwiegende Kern der Tätigkeit.


134464793799992006 senior machine learning engineer genai google cloud?q=Artificial+Intelligence

Machine Learning
Generative AI
Google Cloud
MLOps
Model Development

Der Jobtitel enthält 'senior machine learning engineer genai', was auf eine zentrale Rolle im Bereich Generative AI und Machine Learning hindeutet. Das Unternehmen ist Google AI, was den Fokus auf KI unterstreicht.


Machine Learning / Artificial Intelligence

Der Jobtitel und die Bezeichnung 'KI-Engineer' deuten klar auf eine Rolle hin, die sich überwiegend mit KI und Machine Learning beschäftigt. Der Titel 'Senior Machine Learning/AI Engineer' legt nahe, dass KI/AI der Kern der Tätigkeit ist.

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


110451722916111046 staff data scientist genai and agentic soc?q=Artificial+Intelligence

GenAI
Data Science
AI
LLMs
Agentic Systems

Der Jobtitel erwähnt explizit 'staff data scientist genai and agentic soc', was auf eine zentrale Rolle in der Entwicklung und Anwendung von generativen KI-Modellen und agentenbasierten Systemen hindeutet. Das Unternehmen ist Google AI, was den Fokus auf KI unterstreicht.


Machine Learning
KI-Entwicklung
Cloud Computing
MLOps

Der Jobtitel 'AI Engineer' und die Bezeichnung 'Machine Learning Engineer' deuten klar auf eine Rolle hin, die sich mit der Entwicklung und Implementierung von KI- und ML-Modellen beschäftigt. Der Kontext 'Google Cloud Consulting' legt nahe, dass es um Cloud-basierte KI-Lösungen geht, was als überwiegend technisch-konzeptionelle KI-Arbeit einzustufen ist.

AI Engineer, Google Cloud Consulting (English, German) Machine Learning Engineer


Deep Research Agent Tech Lead

Enterprise AI Agents, Generative AI, Multimodal AI, LLMs

Generative AI
Large Language Models (LLMs)
Agentic Frameworks
Machine Learning
Deep Learning
AI Agents
Multimodal AI
OCR
Vision-Language Models
Vector Databases
Advanced Retrieval Techniques
Text-to-SQL Systems

Die Rolle ist stark auf die Entwicklung und Produktion von Deep Research Agents ausgerichtet, mit Fokus auf Generative AI, LLMs, Agentic Frameworks und Multimodal AI. Die Aufgaben beinhalten Forschung, Architektur, Skalierung und Deployment von AI-Systemen im Unternehmenskontext. Die Anforderungen beziehen sich direkt auf KI-Expertise und -erfahrung.

Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development , translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate th…


GenAI
LLMOps
RAG
multi-agent systems
Text2SQL
fine-tuning
machine learning
data science
MLOps
production deployment
AI research

Die Rolle ist explizit auf die Entwicklung und Produktionisierung von GenAI-Lösungen ausgerichtet. Der Job erfordert tiefes Wissen in ML, GenAI-Techniken und deren praktische Anwendung in Produktionsumgebungen. Die Aufgaben beinhalten Forschung, Deployment und Beratung im Bereich KI, was den Kern der Rolle darstellt.

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ327R196 Recruiter: Dina Hussain Location: United Kingdom - Remote 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…


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

GenAI
LLMOps
RAG
multi-agent systems
Text2SQL
fine-tuning
machine learning
data science
MLOps
production-grade AI deployment

Der Jobtitel und die gesamte Beschreibung zeigen klare, überwiegende KI- und ML-Arbeiten. Die Rolle beinhaltet die Entwicklung von GenAI-Lösungen, die Einbindung von Forschungsergebnissen, die Produktionisierung von Anwendungen und die Zusammenarbeit mit Produkt- und Engineering-Teams. Die geforderten Fähigkeiten (z. B. RAG, fine-tuning, ML-Deployment) und die technischen Anforderungen (z. B. HuggingFace, LangChain, PyTorch) bestätigen den hohen technischen KI-Kern.

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…


Member of Technical Staff (Data Scientist, Evals)

LLM Evaluation, Answer Quality Measurement, Search-based LLM Systems

LLM Evaluation
Data Science
Machine Learning
Automated Evaluation Pipelines
VLM-based Solutions
MLOps
Python
SQL
Cloud Data Stack
LLM-as-a-judge

Die Rolle ist stark auf die Entwicklung und Bewertung von LLM-basierten Antworten ausgerichtet, mit Fokus auf automatisierte Evaluationspipelines, VLM-basierte Lösungen und die Integration von wissenschaftlichen Bewertungsmethoden. Die Aufgaben sind direkt im Bereich KI/ML/Data Science angesiedelt.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users. RESPONSIBILITIES - Architect and maintain automated evaluation pip…


Prompt Engineer, Agent Prompts & Evals

Large Language Models (LLMs), AI Product Engineering, AI Safety and Alignment

Prompt Engineering
LLM Evaluation
Model Behavior Optimization
AI System Testing
Evaluation Methodologies
AI Infrastructure Development
MLOps

Die Rolle ist stark auf Prompt Engineering, Evaluationen und die Optimierung von LLM-Modellverhalten ausgerichtet. Der Job beinhaltet tiefes Verständnis und direkte Arbeit mit Frontier AI-Modellen wie Claude, wobei der Fokus auf Produktqualität, Sicherheit und Nutzererfahrung liegt. Die Aufgaben sind eng mit der Entwicklung und Verbesserung von KI-Systemen verbunden.

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 prompt and context engineers to join our product engineering team to help build AI-first products, features, and evaluations. Your mission will be to bridge the gap between model capabilit…


Applied AI Engineer

LLM-powered application development
Prompt engineering
Context engineering
Agent architectures
Evaluation frameworks
MLOps
AI engineering
Technical AI communication

Die Rolle eines Applied AI Engineers bei Anthropic ist stark auf die Entwicklung und Anwendung von KI-Systemen, insbesondere LLMs wie Claude, ausgerichtet. Die Aufgaben beinhalten die Entwicklung von Prototypen, Architekturdesign, Evaluationen und direkte Zusammenarbeit mit Kunden, um innovative KI-Anwendungen zu bauen. Die Anforderungen beinhalten Erfahrung mit LLMs, Prompting, Agentenarchitekturen und Evaluationen, was auf eine tiefgehende technische KI-Arbeit hindeutet.

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 Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engag…


Applied AI Engineer, Beneficial Deployments

Applied AI, LLM deployment, AI for social impact

LLM-powered application development
Prompting
Context engineering
Agent architectures
Evaluation frameworks
Deployment at scale
MLOps
AI system optimization

Die Rolle eines Applied AI Engineers bei Anthropic ist stark auf die Entwicklung, Optimierung und Bereitstellung von LLM-basierten Anwendungen ausgerichtet. Die Aufgaben beinhalten tiefgehende technische Arbeit mit Agentenarchitekturen, Evaluationsrahmenwerken, Kontext-Engineering und Skalierung von AI-Systemen. Die Kernverantwortlichkeiten und geforderten Fähigkeiten zeigen einen klaren Fokus auf KI/ML-Technologien, insbesondere im Bereich der Anwendung von Large Language Models.

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 educatio…


LLM-powered application development
Prompting
Context engineering
Agent architectures
Evaluation frameworks
Deployment at scale
MLOps
Technical AI advising
Prototyping AI systems

Die Rolle eines Applied AI Engineers bei Anthropic ist stark auf die Entwicklung, Optimierung und Bereitstellung von LLM-basierten Anwendungen ausgerichtet. Die Aufgaben beinhalten tiefgehende technische Arbeit mit Agentenarchitekturen, Evaluationsrahmenwerken, Kontext-Engineering und Skalierung von AI-Systemen. Die Rolle ist zentral an der Entwicklung öffentlicher Infrastruktur für AI-Ökosysteme beteiligt und direkt an der Mission von Anthropic ausgerichtet, vertrauenswürdige und steuerbare AI-Systeme zu entwickeln.


Applied AI Engineer, Enterprise Tech

Boston, MA, New York City, NY, San Francisco, CA, Seattle, WA, Washington, D.C.

Large Language Models (LLMs), Generative AI, AI Product Development

LLM deployment
Prompt engineering
Agent development
Evaluation frameworks
LLM architecture design
MLOps
AI product development

Die Rolle ist stark auf die Anwendung und Implementierung von LLMs (insbesondere Claudes API) ausgerichtet. Der Applied AI Engineer ist direkt für die technische Beratung, Entwicklung von Evaluationsframeworks, Architekturdesign und die Weiterentwicklung von LLM-Anwendungen verantwortlich. Die Aufgaben beinhalten tiefgehende KI-Expertise und sind zentral für die Entwicklung und Sicherstellung von KI-Produkten.

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 a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Cl…


Data Scientist, API

AI Platform Measurement and Optimization

Data Science
AI Platform Metrics
Causal Inference
Experimentation
Data Pipeline Development
AI Evaluation
Developer Platform Analytics

Die Rolle ist stark auf die Entwicklung und Analyse von Metriken und Systemen fuer ein AI-Plattform-Framework ausgerichtet, mit klarem Fokus auf die Verbesserung von AI-Plattformleistungen, Entwicklererfolgen und Sicherheit. Die Aufgaben umfassen die Definition von KPIs, Experimente, Datenpipelines und die Integration mit Forschung und Produktteams, was den Kern der KI-Arbeit darstellt.

About the Team OpenAI’s mission is to ensure AGI benefits all of humanity. The API organization is one of the highest-leverage ways we do that: we put frontier intelligence in the hands of builders who turn it into products, businesses, and services that reach people everywhere. We build the infrastructure and developer platform that makes that possible—so developers can reliably bring powerful AI into the real world, operate it safely at scale, and keep pushing what’s possible. When we do our job well, we don’t just ship an API. We enable thousands of…


Data Scientist, ChatGPT for Work

AI-native workspace, ChatGPT for Work, B2B AI products

Data Science
AI-native product measurement
Causal inference
Experimentation
AI product metrics
Human-AI collaboration analysis
AI trust and safety metrics

Die Rolle ist ein Data Scientist in einem spezifischen AI-Produkt (ChatGPT for Work) bei OpenAI. Die Aufgaben beinhalten die Definition von KPIs für AI-Produkte, die Analyse von Nutzungsverläufen, die Entwicklung von Metriken für AI-native Workflows, die Durchführung von Experimenten zur Bewertung von Produktänderungen und die Messung von Vertrauens- und Sicherheitsaspekten in AI-Interaktionen. Die Rolle ist eng mit der Entwicklung und Optimierung von AI-Produkten verbunden.

About the Team OpenAI’s mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs—so they can spend less time on busywork and coordination, and more time on the work that’s meaningful and additive. We’re building an AI-native workspace where AI acts as a superassistant for everyday tasks and a coworker you can hand work off to—then review, edit, and approve with confidence. And we’re doing it in a way organizations can trust, by grounding experien…


Data Scientist, B2B

Enterprise AI, AI agents, LLM-based automation, AI productivity tools

AI agents
LLM-based products
AI-powered enterprise products
AI system behavior definition
AI productivity tools
AI system performance evaluation
AI-native companies
AI-first world

The role is deeply embedded in shaping AI-powered enterprise products, defining AI agent behavior, and measuring AI system performance. The job is centered around AI systems and their impact on enterprise workflows, with a clear focus on AI-native companies and AI-first product development.

About the Team Our B2B product organization is building the systems that will accelerate and automate how companies operate using AI coworkers.Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organizations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the center of the future of work: defining how humans collaborate with AI systems acr…


Research Engineer / Machine Learning Engineer - Applied Voice

Machine Learning
Deep Learning
Transformers
Speech Models
ASR (Automatic Speech Recognition)
TTS (Text-to-Speech)
PyTorch
TensorFlow
MLOps
Model Optimization
Data Pipelines
Large Language Models (LLMs)

Die Rolle ist klar auf die Entwicklung und Implementierung von Speech-Modellen wie ASR, TTS und Speech-to-Speech ausgerichtet. Die Aufgaben beinhalten Forschung, Modellentwicklung, Skalierung und Produktion von KI-Modellen, was den Kern der Arbeit darstellt. OpenAI ist ein führendes Unternehmen im Bereich KI, und die Rolle ist eng mit Forschung und Produktentwicklung im Bereich Voice Intelligence verbunden.

About the Team OpenAI is at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Research Engineers to join our Applied Voice Team, where you'll conduct groundbreaking research on speech models and transform it into real-world applications that can change industries, enhance human creativity, and solve complex problems. About the Role As a Research Engineer in OpenAI's Applied Voice Team, you will have the o…


TLM, Machine Learning, Integrity

Machine Learning
Model Training
Model Deployment
LLMs
MLOps
Evaluation Frameworks
Content Moderation
Web Safety
AI Safety
Integrity Systems

Die Rolle ist stark auf Machine Learning und die Entwicklung von Systemen zur Sicherung der Plattformintegrität ausgerichtet. Der Titel erwähnt explizit 'Machine Learning', und die Aufgaben beinhalten Modelltraining, Deployment-Strategien, Schutzmaßnahmen und Zusammenarbeit mit Forschungs- und Sicherheitsteams. Der Kern der Rolle ist die Entwicklung und Anwendung von KI-Modellen, insbesondere im Bereich Web Safety und Plattformintegrität.

ABOUT THE TEAM The Applied team safely brings OpenAI's technology to the world. Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting scalable infrastructure and driving safe, responsible deployment. Our customers rely on our APIs to build transformative products, while we ensure responsible usage and platform integrity. The Integrity team, within Applied Engineering, safeguards our platform by proactively identifying misuse, preventing abuse, and protecting users. We're seeking an experienced, hands-on Engin…


Sr Software Engineer, Search Relevance (Applied AI)

Search Relevance and Discovery using AI/ML

Machine Learning
NLP
LLM
Search Relevance
Query Understanding
Model Deployment
MLOps
Text Mining
Recommendations
Personalization
Conversational AI

Die Rolle beinhaltet die Entwicklung und Bereitstellung von ML-basierten Such- und Entdeckungsrelevanzmodellen, die tief in NLP, LLMs und Modellbewertung eingebunden sind. Die Aufgaben sind klar auf KI/ML ausgerichtet und stellen den überwiegenden Kern der Rolle dar.

P-1407 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 multiple ML Engineers from junior levels to more senior levels to drive enhan…


Sr Software Engineer, Search

Machine Learning
NLP
Search Relevance
Query Understanding
LLM
Model Deployment
MLOps
Text Mining
Recommendations
Personalization
Conversational AI

Die Rolle beinhaltet die Entwicklung und Bereitstellung von ML-basierten Such- und Entdeckungsrelevanzmodellen, die Integration in Databricks-Produkte, sowie die Gestaltung von NLP-Pipelines und Evaluationsrahmen. KI ist der überwiegende Kern der Aufgaben.


Sr. Product Manager, Databricks AI

AI/ML
Generative AI
AI Product Development
MLOps
Data Intelligence
AI Workflows
AI Governance

Die Rolle ist ein Senior Product Manager innerhalb des Databricks AI-Teams, das sich auf die Entwicklung und Skalierung von AI-Plattformen konzentriert. Die Aufgaben beinhalten die Gestaltung von Produkten für generative AI, Agenten und komplexe Workflows, wobei enge Zusammenarbeit mit Forschungsteams und die Umsetzung von KI-Innovationen in skalierbare Lösungen erforderlich ist. Die Anforderungen beinhalten ein starkes technisches Verständnis in AI/ML und Erfahrung mit KI-gestützten Produkten.

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into…


Sr. Product Manager, Databricks AI

Generative AI
AI/ML
AI Product Development
AI Workflows
AI Governance
MLOps
Data Intelligence

Die Rolle ist ein Senior Product Manager innerhalb des Databricks AI-Teams, das sich auf die Entwicklung und Skalierung von AI-Plattformen konzentriert. Die Aufgaben beinhalten die Gestaltung von Produkten für generative AI, Agenten, komplexe Workflows und die Integration von AI in Daten- und Anwendungsumgebungen. Die Anforderungen beinhalten ein starkes technisches Verständnis in AI/ML und Erfahrung mit AI/ML-Produkten.


Sr. Manager, Engineering - AI Gateway (LLM Inference)

LLM Inference
ML/AI
GenAI
Model Serving
AI Governance
MLOps

Die Rolle befasst sich direkt mit der Entwicklung und Führung von Produkten, die LLM-Endpunkte, Model Serving und AI Governance umfassen. Der Titel und die Beschreibung zeigen klare technische und konzeptionelle KI-Arbeit, insbesondere im Bereich LLM Inference und AI Gateway.

RDQ127R255 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. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling ou…


Sr. Manager, AI FDE

AI/ML Professional Services and Enterprise AI Transformation

AI/ML Professional Services
GenAI
Machine Learning
Data Science
AI Transformation
MLOps
Cloud ML (AWS, Azure, GCP)
AI Practice Leadership

Die Rolle ist ein klarer Kern-KI-Job, da sie umfassende Verantwortung für die Leitung und Skalierung einer hochspezialisierten AI/ML-Beratungsteams trägt, mit Fokus auf GenAI, ML-Produktionslösungen und strategische AI-Transformationen. Die Aufgaben umfassen die Entwicklung von AI-Engagement-Modellen, Zusammenarbeit mit Produkt- und Forschungsteams, und die Führung von Kundenprojekten, die auf KI basieren.

CSQ327R28 Sr. Manager, AI FDE Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering. We are looking for a world-class leader to lead and grow our AI FDE team in our Global Delivery Center (GDC). In this ro…


Senior GenAI Research Scientist - AI Efficiency & Optimization

AI Research, GenAI, Model Efficiency & Optimization

Generative AI (GenAI)
Deep Learning
Reinforcement Learning
Model Optimization
Large-Scale Neural Network Training
Low-Precision Techniques
Model Adaptation Methods
MLOps
PyTorch
Python
Research in AI/ML

Die Rolle ist klar auf führende Forschung in GenAI, Modell-Effizienz, Reinforcement Learning und Optimierung von LLMs ausgerichtet. Die Aufgaben beinhalten die Entwicklung neuer Techniken, die den wissenschaftlichen Fortschritt vorantreiben, sowie die Optimierung von ML-Systemen. Die Anforderungen an Forschungserfahrung, Veröffentlichungen und technische Fähigkeiten in ML/Systems zeigen einen klaren Fokus auf KI.

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 Engineering Manager, AI Runtime

distributed training frameworks (PyTorch, DeepSpeed, etc.)

parallelism strategies (FSDP, tensor/pipeline parallelism)

training resilience patterns (checkpointing, elastic training)

Die Rolle beinhaltet die Führung eines Engineering-Teams, das für die Entwicklung und den Betrieb von Databricks' AI Runtime (AIR) verantwortlich ist, ein Produkt, das speziell für das Training und Feintuning von Deep Learning- und LLM-Modellen mit GPUs entwickelt wurde. Die Aufgaben umfassen die Gestaltung von Architekturen, Skalierbarkeit, Fehlerresilienz und die Integration mit Forschungsteams. Die Anforderungen beziehen sich direkt auf KI-Infrastruktur, LLMs und MLOps.

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. Databricks' AI Runtime (AIR) product provides enterprises with an API for training and fine-tuning deep learning and LLM models with on-demand GPUs. Whether it's a transformer model for dru…


VP, Product Management - Agentic AI

Agentic AI, Knowledge Graphs, LLM Applications

LLM
RAG
AI Agents
Machine Learning
Knowledge Graphs
Vector Search
AI Pipelines
GenAI

The role is explicitly focused on defining and executing product strategy at the intersection of graphs and agentic AI. The description heavily emphasizes AI-related technologies and use cases (RAG, LLM grounding, AI agents). The VP will lead a team focused on AI-related areas.

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


Sr. Director, Field Technology and AI

Machine Learning
LLM
GenAI
Data Science
Data Strategy
MLOps
NLP
Data Governance
Vector Databases

The role is explicitly focused on leading the application of AI across the entire Go-to-Market motion. It involves building and leading teams dedicated to Data Science, Customer Data Strategy, and operationalizing AI within GTM workflows. The job description heavily emphasizes AI-driven solutions like account scoring, next-best-action, and seller copilots.

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


Sr. Manager, Technical Delivery - AI & Machine Learning

Machine Learning
Data Science
LLMs
GenAI
Python
SQL
RAG
Agentic AI
Deep Learning
MLOps

The role explicitly manages a team focused on AI/ML Solutions Architects and Consultants. The job description heavily emphasizes AI/ML expertise, project lifecycle leadership, and staying current with AI/ML advancements. A significant portion of the responsibilities and required skills directly relate to AI/ML technologies and applications.

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


Senior Data Scientist

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

The role explicitly focuses on building and operating production-grade forecasting systems using statistical and machine learning models. The job description heavily emphasizes model building, data analysis, and productionization of AI/ML solutions for a core business function (financial planning).


Senior Data Scientist - Product

Data Science
Machine Learning
SQL
Python
scikit-learn
numpy
pandas
Data Modeling
Causal Inference
MLOps
Data Pipelines

The role explicitly focuses on building and deploying ML models, analytical frameworks, and data pipelines to improve Snowflake's products. The description highlights the use of ML/AI tools and techniques as a core part of the job.


Data Scientist

Machine Learning
Data Science
AI
Python
SQL
Statistical Modeling
Forecasting
Optimization
Advanced Analytics
Regression

The role explicitly focuses on applying machine learning, data science, and AI to solve customer problems. The job description details tasks directly related to building, deploying, and customizing AI products. The required experience and skills heavily emphasize AI/ML techniques.

LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION This role acts as a Forward Deployed Scientist, with a goal to partne…


Manager, Data Science - AI Product

Data Science
Machine Learning
Statistical Modeling
Experimentation
Data Analysis
Data Frameworks
AI Product Development

The role is explicitly focused on leading a Data Science team within an 'AI Products' organization. The description highlights building data frameworks, implementing statistical methods, and driving data-driven insights for product development. The team's charge is to 'uplevel Figma’s use of data'.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Products Data Science org is at the center of next generation products w…


Manager, Software Engineering - AI Product

AI
Machine Learning
Generative AI
LLM
RAG
Data Science
MLOps

The role explicitly focuses on leading a team building and advancing Figma's AI capabilities, defining AI strategy, and applying emerging AI technologies to improve user experience. The description highlights generative AI, RAG, and the need for experience with AI-powered products.

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


Sales AI Engineer

LLM
Machine Learning
Data Science
API Integration
Automation
Python
SQL

The role explicitly focuses on building and operationalizing AI-powered workflows, integrating LLMs, and applying AI to improve sales processes. The candidate is expected to have hands-on experience with LLMs and building production-grade automations.

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


Machine Learning Manager, App SW

Machine Learning
Robotics
Autonomy
MLOps
Data Science
Computer Vision
Sensor Fusion

The role explicitly focuses on leading a team developing and localizing autonomous driving technology, requiring expertise in machine learning, robotics, and systems integration. The core responsibilities are heavily centered around AI/ML development and deployment.

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


Senior Data Scientist

Data Science
Machine Learning
Python
SQL
Statistical Modeling
Experiment Design
Data Analysis
Data Visualization
Causal Inference
Bayesian Methods
PyTorch

The role is explicitly focused on applying data science and machine learning to improve the Wayve AI Driver, a core component of their autonomous vehicle technology. The job description details tasks directly related to model training, performance analysis, and experiment design.


Staff Data Scientist

The role is explicitly focused on applying data science and machine learning to improve the Wayve AI Driver, a core component of their autonomous vehicle technology. The job description details tasks directly related to model training, performance analysis, and experimentation.


Machine Learning Engineering Manager, App SW

Detroit, Michigan USA, Sunnyvale, California USA

Machine Learning
Robotics
Autonomy
MLOps
Computer Vision
Data Science

The role explicitly focuses on building and leading a team to develop and deploy autonomous driving technology, requiring expertise in robotics, machine learning, and systems integration. The core responsibilities revolve around AI-driven features and localization for the US market.


Senior Finance Data Scientist, Existing Business

Python
SQL
Machine Learning
Time Series Analysis
Propensity Modeling
LTV Modeling
Data Pipelines
Data Warehousing
Forecasting
Statistical Modeling

The role explicitly focuses on building and maintaining predictive models (probabilistic, time-series) for revenue forecasting, LTV, and expansion propensity. It requires strong data science skills (Python, SQL, ML) and a deep understanding of SaaS metrics. The job description heavily emphasizes the application of AI/ML techniques to solve core business problems.

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…


Data Scientist, Performance and Reliability

Data Science
Machine Learning
Experimentation
Causal Inference
Data Tooling
Metrics
Data Analysis

The role is explicitly focused on using data science to improve an AI-powered product (Cursor, an AI coding tool). The tasks directly involve measuring and improving the performance of AI interactions and building data tooling to support AI development. The company's core mission is AI-driven.

Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. About the role Cursor is building the best way to develop software with AI. As an early member of our data science team, you'll help define the way the company uses…


Data Scientist, Product

Machine Learning
Data Modeling
Predictive Modeling
A/B Testing
Causal Inference
Python
SQL
Data Analysis
Statistical Analysis
Experimentation
LLM
AI Agents

The role explicitly focuses on analyzing AI agent effectiveness, building analytical foundations for enterprise business, and leveraging AI tools for data analysis. The job description emphasizes the use of AI to improve product strategy and user experience, making it a core AI role.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: We're redefining how software is built and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. To realize this vision, we need people who are obsessed with understanding how users experience our product and can t…


Data Scientist, People

AI
LLMs
Machine Learning
Predictive Modeling
Data Science
Python
SQL
NLP
Causal Inference
Data Analysis

The role explicitly focuses on building AI-powered systems for core HR functions (hiring, compensation, performance, etc.). The job description heavily emphasizes the use of data science, machine learning, and LLMs to automate and improve talent decisions. The tasks are centered around model building, AI agent development, and data-driven insights, making AI a primary component of the job.

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE At https://replit.com?utm_source=chatgpt.comReplit, we’re building an AI-native company — and that includes how we operate internally. We’re looking for a Data Scientist, People to help us build the intelligence systems behind hiring, compensation, performance, organizational design, and wor…


Staff Applied AI Engineer - Pre-Sales

Generative AI, Machine Learning, Data Science

LLM
RAG
Machine Learning
Python
Data Processing
Prompt Engineering
GenAI
Vector Databases
MLOps

The role explicitly focuses on applying GenAI and ML techniques to solve customer problems, building demos, and scoping solutions. The required skills and experience heavily emphasize AI/ML technologies.

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…


AI Product Manager

Machine Learning
AI
Data Science
Model Evaluation
Observability
LLM
GenAI

The role is focused on product management for an AI observability platform, requiring deep understanding of AI/ML and its lifecycle. The job description explicitly mentions AI, ML, and GenAI as core to the product and requires technical expertise in these areas.

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 Data Scientist

Python
R
SQL
Machine Learning
Data Analysis
A/B Testing
Data Visualization
Data Modeling
Generative AI
LLM Evaluation

The role explicitly focuses on applying data science and AI/ML to a core healthcare product. The job description details tasks such as AI model evaluation, understanding AI generation pipelines, and leveraging data to improve an AI-powered platform. The company is a pioneer in generative AI for healthcare.

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


AI Product Engineer

LLM
Machine Learning
MLOps
Generative AI
Inference
Fine-tuning
Data Science
Python
Go
API Development

The role is deeply embedded in building and improving a generative AI platform, focusing on core components like inference, fine-tuning, and model deployment. The job description explicitly mentions working with LLMs and AI infrastructure.

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


Solution Architect (AI/LLM Inference)

AI/ML
LLMs
Inference
MLOps
vllm
sglang
TRT-LMM
Benchmarking
GPU Optimization

The role is explicitly focused on AI/LLM inference, solution architecture for AI products, and working with customers deploying AI models. The responsibilities heavily involve technical AI concepts and deployments.

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


Applied AI Engineer

LLM
AI Agents
Machine Learning
Python
AI Enablement
MLOps

The role is centered around deploying, integrating, and teaching the use of an AI-powered software engineering tool (Devin). The tasks directly involve working with LLMs and agent-based systems, and scaling AI enablement programs. The core function is AI-focused.

WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tes…


Senior Data Analyst

Data Science
Machine Learning
LLM
RAG
Prompt Engineering
Model Evaluation
Python
SQL
Data Pipelines
Data Modeling
Data Analysis
A/B Testing

The role explicitly requires experience analyzing AI/LLM product performance (RAG, agentic workflows, prompt engineering) and conducting data science work in a legal technology context. The job description heavily focuses on data analysis to improve AI product performance and drive strategic growth.

WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity…


Machine Learning, Platform Engineer

Machine Learning
PyTorch
LLMs
Model Optimization
Inference
Data Science
MLOps
Kubernetes

The role is focused on building and optimizing a platform for custom models and inference, specifically for video and audio generation. The responsibilities directly involve ML bottlenecks, model bring-up, optimization, and scaling. The company is a research-driven AI company.

About the Role Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. We often focus on video or audio generation across the stack: CUDA kernels, pytorch optimization, inference engines, container orchestration, queueing theory, etc. An ideal candidate will be great at profiling/optimization but know the word k…


Applied AI Engineer, Fullstack Software Engineer - EMEA

LLM
GenAI
Python
Machine Learning
AI Integration
Model Deployment

The role explicitly focuses on integrating and deploying Mistral AI's models (LLMs, GenAI) with customer software. The job description highlights collaboration with AI engineers and researchers, and a strong emphasis on technical problem-solving related to AI products. The 'Ideally' section further reinforces the AI focus.

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


Applied AI Engineer, Senior/Staff Fullstack Software Engineer - Singapore

LLM
GenAI
Python
Machine Learning
AI Models
MLOps

The role explicitly focuses on integrating AI models (LLM/GenAI) into customer products, collaborating with AI engineers and researchers, and driving the deployment of AI solutions. The core responsibilities revolve around AI-related tasks.


Hirschau, Oberpfalz, Bayern, Deutschland

Generative AI
AI Engineering
Machine Learning

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit Generativer KI befasst. Die Tochterfirma RE-IN deutet auf einen Fokus auf KI-basierte Innovationen hin.

Junior AI Engineer - Generative AI (m/w/d/pixelhead) für unsere Tochterfirma RE-IN Informatiker/in


Münster, Westfalen, Nordrhein-Westfalen, Deutschland

Generative AI
Artificial Intelligence
Business Analyse
Requirements Engineering

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit Generativer KI befasst. Die Aufgaben umfassen wahrscheinlich die Analyse von Geschäftsanforderungen im Kontext von GenAI-Anwendungen.

Business Analyst Generative Artificial Intelligence (m/w/d) Informatiker/in


Generative AI
AI
Product Ownership
KI
LLM

Der Titel und die Beschreibung konzentrieren sich direkt auf Generative AI und KI als Kern der Rolle. Die Aufgaben umfassen die Produktverantwortung für ein KI-Pilotprojekt.

Product Owner S-KIPilot / Generative Artificial Intelligence (m/w/d) Produktmanager/in


Künstliche Intelligenz
KI
Machine Learning
ML
Data Science
AI Consulting
Digitale Transformation

Der Jobtitel und die Beschreibung konzentrieren sich direkt auf KI und digitale Transformation. Die Rolle scheint sich auf die Implementierung und Beratung im Bereich KI zu konzentrieren.

KI Consultant (m/w/d) in Düsseldorf – Digitale Transformation & Künstliche Intelligenz KI-Manager/in


Generative AI
AI Coaching
Bildgenerierung
Videogenerierung
Workflow-Optimierung
KI-Engineering

Die Rolle konzentriert sich direkt auf generative KI-Technologien und deren Anwendung in Bild- und Videoprozessen. Der Titel und die Beschreibung deuten auf eine tiefgreifende Expertise und praktische Anwendung von KI hin.

Generative AI Coach Freelancer (Fokus Bild, Video & Workflow) KI-Engineer


AI Engineer (m/w/d)

AI
Machine Learning
Python
Data Science
MLOps

The job title explicitly mentions 'AI Engineer' and the description indicates an IT development role focused on AI. This suggests a core focus on AI technologies.

AI Engineer (m/w/d) IT-Entwickler/in (Weiterbildung/Ausbildung)


Data Scientist (m/w/d) - ID 8003

Bayerisches Landesamt für Steuern Dienststelle Nürnberg

Nürnberg, Mittelfranken, Bayern, Deutschland

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

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

Data Scientist (m/w/d) - ID 8003 Informatiker/in


Heilbronn, Neckar, Baden-Württemberg, Deutschland

Künstliche Intelligenz
AI
ML
LLM
Data Science

Die Stellenbeschreibung fokussiert direkt auf das Unterrichten von Künstlicher Intelligenz. Der Jobtitel und die Beschreibung deuten auf eine Kernrolle im Bereich KI hin.

DOZENT (M/W/D) FÜR KÜNSTLICHE INTELLIGENZ IT-Trainer/in


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

Ansbach, Mittelfranken, Bayern, Deutschland

Data Science
Data Engineering
Machine Learning
Data Analysis
Statistical Modeling

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

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


Dualer Student (m/w/d) Studiengang Data Science und Künstliche Intelligenz a.d.dual. Hochsch.Mosbach

Wilhelmsdorf, Mittelfranken, Bayern, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Data Analysis

Der Studiengang und die Stellenbezeichnung fokussieren direkt auf Data Science und Künstliche Intelligenz. Es ist davon auszugehen, dass der überwiegende Teil der Arbeit der Anwendung und Entwicklung von KI/ML-Modellen gewidmet ist.


Der Jobtitel beinhaltet explizit 'AI Engineer' und deutet auf eine zentrale Rolle in der KI-Entwicklung hin. Die Beschreibung, auch wenn kurz, unterstreicht den Fokus auf Softwareentwicklung im Kontext von KI.

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


AI Engineer (m/w/d)

AI
Machine Learning
Python
Softwareentwicklung

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI/AI hin. Die Bezeichnung 'AI Engineer' impliziert die Entwicklung und Implementierung von KI-Loesungen.

AI Engineer (m/w/d) Fullstack-Entwickler/in


Data & AI Engineer (m/w/d)

Der Jobtitel und die kurze Beschreibung deuten stark auf eine Kernrolle im Bereich Data & AI hin. Die explizite Nennung von 'AI' und 'Data Engineer' impliziert einen Schwerpunkt auf KI-bezogenen Aufgaben.

Data & AI Engineer (m/w/d) Data Engineer


Agentur für Innovation in der Cybersicherheit GmbH

Halle (Saale), Sachsen-Anhalt, Deutschland

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
Data Mining

Die Stellenbeschreibung benennt explizit 'Data Scientist' und impliziert eine starke Fokussierung auf datengetriebene Innovationen. Der Kontext der Cybersicherheit deutet auf die Anwendung von Data Science und ML zur Erkennung von Bedrohungen und Verbesserung der Sicherheit hin.

Data Scientist (m/w/d) im Innovationsmanagement Data Scientist


The job title explicitly mentions AI and Machine Learning. The description indicates a focus on these technologies within Rolls-Royce, suggesting a core role in AI/ML development or research.

Intern AI and Machine Learning at Rolls-Royce Motor Cars (f/m/x) Informatiker/in


Machine Learning
Data Analysis
Python
Data Modeling
Feature Engineering

Die Stellenbeschreibung fokussiert direkt auf Machine Learning zur Fehlerdetektion, was ein klarer Kern-KI-Anwendungsfall ist.

Werkstudent Machine Learning für die Fehlerdetektion im Antriebsstrang (w/m/x) Informatiker/in


Data Scientist (all genders)

The job title explicitly mentions 'Data Scientist' and the description, even if minimal, confirms a focus on data-driven insights, strongly suggesting core AI/ML work.

Data Scientist (all genders) Data Scientist


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

Hürth, Rheinland, Nordrhein-Westfalen, Deutschland

Machine Learning
KI
ML
Data Science
Modellierung
Algorithmen

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI/ML hin. Die Aufgaben umfassen die Entwicklung und Implementierung von KI/ML-Modellen.

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


Data Scientist (m/w/d)

Data Science
Machine Learning
Datenbankentwicklung
Datenanalyse
Modellierung

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und Datenbankentwicklung konzentriert, was Kernkomponenten der KI-Landschaft sind.

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


Data Science
Machine Learning
MLOps
Data Analysis
Statistical Modeling

Der Jobtitel und die Beschreibung deuten klar auf eine Rolle hin, die sich auf Data Science und Machine Learning konzentriert. Die Aufgaben umfassen wahrscheinlich die Entwicklung und Implementierung von ML-Modellen.

Consultant (m/w/d) Data Science & Machine Learning IT-Berater/in


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

Essen, Ruhr, Nordrhein-Westfalen, Deutschland

Data Science
Machine Learning
Datenbankentwicklung
Modellierung
Statistik
Python
R

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und Datenbankentwicklung konzentriert, was Kernkomponenten der KI/ML-Landschaft sind.

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


Data Science
Machine Learning
Python
Data Analysis
Statistical Modeling
Infrastructure Management

The job title explicitly mentions 'Data Scientist' and the description focuses on data science tasks within infrastructure management. This indicates a core role in applying data science techniques.

Data Scientist (m/w/d) Fokus Infrastrukturmanagement Data Scientist


Enrichment Technology Company Ltd Niederlassung Deutschland

Machine Learning
CFD
Data Analysis
Python

Die Rolle ist explizit als Machine Learning Ingenieur ausgeschrieben und fokussiert sich auf die Anwendung von Machine Learning in der numerischen Strömungsmechanik (CFD). Dies deutet auf eine tiefgreifende Auseinandersetzung mit ML-Modellen und deren Implementierung hin.

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


Machine Learning
Simulation
Softwareentwicklung
Python

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit der Entwicklung von Machine Learning und Simulationssoftware beschäftigt. Dies ist ein klarer Kern-KI-Job.

Softwareentwickler Machine Learning / Simulation (m/w/d) Softwareentwickler/in


Data Scientist (m/w/d) Logistik

Data Science
Machine Learning
Python
Data Analysis
Statistical Modeling

The job title explicitly mentions 'Data Scientist' and the description focuses on data-driven problem solving, indicating a core AI/ML role. The logistics context suggests application of data science techniques to optimize logistical processes.

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


FERCHAU GmbH Niederlassung Nürnberg City

Neumarkt in der Oberpfalz, Bayern, Deutschland

Data Science
Machine Learning
Modellierung
Python
Statistik
Datenanalyse

Die Stellenbeschreibung deutet stark auf eine Rolle hin, die sich auf die Anwendung von Data Science und Modellierung zur Optimierung von Kalkulationen und Betreibermodellen in der Energiewirtschaft konzentriert. Der Fokus liegt auf der Analyse von Daten und der Entwicklung von Modellen, was ein klarer Kern-KI-Job ist.

Data Scientist (m/w/d) Kalkulation & Betreibermodelle - Energiewirtschaft/Energiewende Data Scientist


Data Scientist (m/w/d)

Gesamtverband der Deutschen Versicherungswirtschaft e. V.

The job title explicitly mentions 'Data Scientist' and the description focuses on statistical analysis, which is a core component of data science and machine learning. The role is clearly centered around applying data science techniques.


Data Science
Machine Learning
Statistical Modeling
Python
Data Analysis

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

Senior Data Scientist – Quantitative Finance (w/m/d) Data Scientist


Machine Learning Engineer (m/w/d)

Machine Learning
MLOps
Python
Data Modeling
Algorithm Development

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

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


Data Science
Data Engineering
Machine Learning
Python
SQL

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich direkt mit Data Science und Data Engineering befasst. Die Bezeichnung 'Trainee' impliziert eine Einarbeitung in diese Felder.

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


Ulm, Donau, Baden-Württemberg, Deutschland

Data Science
Modellierung
Datenanalyse
Machine Learning

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und Modellierung konzentriert, was Kernbereiche der KI sind.

Data Scientist – der Daten-Analyst & Modellierer (m/w/d) Data Scientist


Die Stellenanzeige bezieht sich direkt auf Machine Learning als Kern der Abschlussarbeit. Die Aufgaben sind klar auf die Entwicklung und Anwendung von ML-Modellen ausgerichtet.

Abschlussarbeit Machine Learning (all genders) Informatiker/in (Weiterbildung)


Roth, Mittelfranken, Bayern, Deutschland

Der Jobtitel und die Beschreibung deuten stark darauf hin, dass die Rolle sich direkt mit KI und Machine Learning befasst. Die explizite Nennung als 'Experte' deutet auf eine tiefere technische Auseinandersetzung hin.

WERKSTUDENT (m/w/d) KI / Machine Learning Expert Informatiker/in


Machine Learning
ML Engineering
Data Science
Python
Cloud Computing

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

Senior Consultant - Machine Learning Engineering (m/w/d), MC Center Unternehmensberater/in


Die Stellenbeschreibung und der Titel deuten klar auf eine Rolle hin, die sich direkt mit Machine Learning und KI in der Produktion befasst. Der Fokus liegt auf der Anwendung von ML/KI-Technologien.

Praktikant*in Machine Learning / KI in der Produktion Machine Learning Engineer


Machine Learning
Cloud Computing
Data Analysis
Python

The job title and description explicitly mention Machine Learning and its application in a development role. The focus is clearly on ML engineering.

Werkstudent*in Development Cloud Enabled Charging für Machine Learning Machine Learning Engineer


Data Science
Real World Data
Statistical Modeling
Machine Learning
Data Analysis

The job title explicitly mentions 'Data Scientist' and the description focuses on data science work within a real-world data context. This indicates a core focus on applying data science techniques.

Senior Director, Real World Data Scientist (all genders) Data Scientist


Data Scientist (m/w/d)

Data Science
Machine Learning
Datenbankentwicklung
Data Mining
Statistik
Modellierung

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und damit verbundene KI-Techniken konzentriert. Die Erwähnung von Datenbankentwicklung deutet auf die Notwendigkeit der Datenaufbereitung und -verwaltung für ML-Modelle hin.

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


Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python
R

The job title explicitly mentions 'Data Scientist' and the description implies a focus on data analysis and modeling within the pharmaceutical wholesale context. This strongly suggests a core AI/ML role.

Data Scientist (m/w/d) – Pharmagroßhandel – Standort Essen Data Scientist


Data Science
Machine Learning
Credit Risk Modeling
Statistical Modeling
Python
Data Analysis

Die Stellenbeschreibung fokussiert direkt auf Data Science im Kontext von Credit Risk, was eine klare Anwendung von Machine Learning und statistischer Modellierung impliziert. Der Titel und die Beschreibung deuten auf eine Rolle hin, die primär auf die Entwicklung und Implementierung von datengetriebenen Lösungen ausgerichtet ist.

(Senior) Data Scientist - Credit Risk (m/w/d) Wirtschaftsinformatiker/in (Hochschule)


Machine Learning Engineer (all genders)

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf die Entwicklung und Implementierung von Machine-Learning-Modellen konzentriert. Die Erwähnung von IT-Systemadministration deutet auf MLOps-Aspekte hin.

Machine Learning Engineer (all genders) IT-Systemadministrator/in


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

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


Data Scientist (m/w/d)

Data Science
Machine Learning
Datenbankentwicklung
Modellierung
Statistik

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und Datenbankentwicklung konzentriert, was Kernkomponenten der KI-Landschaft sind.


AI Engineer - Smart Factories (w/m/d)

Der Jobtitel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI/ML hin, speziell im Kontext von Smart Factories. Die explizite Nennung von 'Machine Learning Engineer' verstärkt dies.

AI Engineer - Smart Factories (w/m/d) Machine Learning Engineer


AI Product Owner (m/w/d)

Machine Learning
AI
Product Ownership
AI Product Management

Der Titel und die Beschreibung deuten stark auf eine Kernrolle im Bereich KI-Produktentwicklung hin. Die explizite Nennung von 'Machine Learning Engineer' verstärkt dies.

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


Data Science
Machine Learning
Data Mining
Data Analysis
Python
R
Statistical Modeling

The job title explicitly mentions 'Data Scientist' and the description focuses on data-centric work within a research context, indicating a core AI/ML role. The focus on an 'Exzellenzcluster' suggests advanced research and likely complex data analysis.

Data Scientist für Forschungsdatenmanagement (im Exzellenzcluster... Data Scientist


Der Jobtitel und die Beschreibung deuten klar auf eine Data Science Rolle mit Fokus auf KI/AI hin. Ein Praxissemester in diesem Bereich impliziert, dass der Hauptteil der Arbeit der Anwendung von Data Science und KI-Techniken gewidmet ist.

Praxissemester als Data Scientist – KI - AI (m/w/d) Data Scientist


Zentrum für Arbeit und Bildung Frankenthal gemeinnützige GmbH Personaldienste

Data Science
Machine Learning
Statistical Modeling
Data Analysis

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science konzentriert. Die Aufgaben umfassen wahrscheinlich die Anwendung von ML-Techniken zur Analyse von Daten.

Engineering Analyst – Data Scientist (m/w/d) Wirtschaftsinformatiker/in (Hochschule)


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

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


Data Engineering
Machine Learning
MLOps
Data Pipelines
Python
SQL

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich direkt mit der Entwicklung und dem Betrieb von Machine-Learning-Systemen befasst. Die Kombination aus Data Engineering und Machine Learning Engineering impliziert einen Kernbezug zu KI.

Data Engineer* / Machine Learning Engineer* Data Engineer


Data Engineering
Machine Learning
MLOps
Python
Data Pipelines

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

Senior Data Engineer* / Machine Learning Engineer* Data Engineer


Data Scientist (m/w/d)

Der Jobtitel und die Beschreibung deuten stark auf eine Rolle hin, die sich auf Data Science und Datenbankentwicklung konzentriert, was Kernbereiche der KI/ML sind.


quo data GmbH Qualitätsmanagement und Statistik

Data Science
Machine Learning
Statistical Modeling
Data Analysis
Python

Der Jobtitel und die Beschreibung deuten klar auf eine Data Science Rolle hin. Die Aufgaben umfassen typische Data Science Tätigkeiten.

Werkstudent / Praktikum – Data Scientist (m/w/d) Data Scientist


Werkstudent Data Scientist (m/w/d)

Data Science
Machine Learning
Python
Data Analysis
Statistical Modeling

Der Jobtitel und die Beschreibung deuten klar auf eine Rolle hin, die sich auf Data Science konzentriert. Die Aufgaben umfassen wahrscheinlich die Entwicklung und Anwendung von ML-Modellen.

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


Duales Studium - Informatik (B.Sc.), Künstliche Intelligenz (m/w/d) 2026

Esslingen am Neckar, Baden-Württemberg, Deutschland

Künstliche Intelligenz
Machine Learning
Data Science
Algorithmen
Programmierung

Das duale Studium ist explizit auf Künstliche Intelligenz ausgerichtet. Der Studienganginhalt wird sich überwiegend mit KI-Themen befassen.


DUALES STUDIUM 2026: Bachelor of Science – Data Science und Künstliche Intelligenz Smart Operations

Hans Ihro GmbH Spedition - Ferntransporte

Neuenstein, Württemberg, Baden-Württemberg, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Data Analysis

Der Jobtitel und die Beschreibung deuten klar auf ein duales Studium mit Fokus auf Data Science und KI hin. Die Rolle 'Smart Operations' impliziert die Anwendung von KI/ML zur Optimierung von Geschäftsprozessen.


Hellmann Worldwide Logistics SE & Co. KG

Data Science
Künstliche Intelligenz
Machine Learning
Data Analysis
Python

Das duale Studium ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Der Fokus liegt auf der Anwendung dieser Technologien.

Duales Studium Data Science & Künstliche Intelligenz zum 01.08.2026 #Praktikum möglich Fachinformatiker/in - Anwendungsentwicklung


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

Siegelsbach, Kraichgau, Baden-Württemberg, Deutschland

Der Jobtitel und die Beschreibung deuten klar auf ein Studium mit Fokus auf Data Science und KI hin. Dies impliziert eine starke Ausrichtung auf KI-Kernkompetenzen.


Kooperatives Studium Künstliche Intelligenz und industrielle Digitalisierung 2026 (m/w/d)

Künstliche Intelligenz
Machine Learning
Data Science
Industrielle Digitalisierung

Das kooperative Studium ist explizit auf Künstliche Intelligenz und industrielle Digitalisierung ausgerichtet. Der Fokus liegt klar auf KI-Technologien und deren Anwendung.


Duales Studium Data Science & Künstliche Intelligenz 2027, Werk Aalen

Aalen, Württemberg, Baden-Württemberg, Deutschland

Data Science
Künstliche Intelligenz
Machine Learning
Data Analysis
Statistical Modeling

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 B.Sc (m/w/d) Studiengang Data Science und Künstliche Intelligenz - Beginn 2027

Der Studiengang ist explizit auf Data Science und Künstliche Intelligenz ausgerichtet. Das Unternehmen ist im Biopharma-Bereich tätig, wo diese Fähigkeiten direkt anwendbar sind.


Lantenhammer Consulting Silvia Lantenhammer

Artificial Intelligence
Data Science
Fraud Detection
Machine Learning

The job title explicitly mentions 'Artificial Intelligence' and 'Data Scientist'. The description suggests a core focus on building and implementing AI-powered fraud solutions.

Consultant Fraud-Solution, Artificial Intelligence (m/w/d) Data Scientist


Senior Applied Value Engineer

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

The role explicitly focuses on applying AI technologies (LLMs, RAG) to solve customer problems, build prototypes, and drive AI deployments at scale. The job description heavily emphasizes AI/ML/LLM skills and their application to core business challenges.

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…


Senior Applied Value Engineer (Energy, Oil & Gas)

Machine Learning
LLM
RAG
Prompt Engineering
Python
LangChain
Data Engineering
AI Strategy
Generative AI
MLOps

The role explicitly focuses on building AI solutions, prototyping with LLMs, and deploying AI agents. The job description heavily emphasizes AI/ML technologies and their application to customer problems. The candidate is expected to have a strong understanding of generative AI techniques and relevant libraries.


Senior Consultant, Value Engineering - Public Sector

Machine Learning
LLM
RAG
Prompt Engineering
Python
LangChain
Data Engineering
AI Strategy
AI Roadmaps
Generative AI
MLOps

The role explicitly focuses on building AI solutions, prototyping with LLMs, and deploying AI at scale. The candidate is expected to have a strong understanding of AI techniques and tools. The core responsibility is to translate customer needs into AI-powered solutions.


Senior Value Engineer - Life Sciences

Supply Chain, Life Sciences, Pharmaceutical, MedTech

AI
ML
LLM
RAG
Python
LangChain
Data Engineering
Prompt Engineering
Multi-Agent Orchestration
Generative AI

The role explicitly focuses on building AI solutions, prototyping with AI technologies, and driving AI deployments within the life sciences supply chain. Key responsibilities and requirements heavily emphasize AI/ML/LLM skills and experience.


Value Engineer - Public Sector

The role explicitly focuses on building AI solutions, prototyping with LLMs, and deploying AI at scale. The job description heavily emphasizes AI/ML/LLM technologies and their application to customer problems. The requirements list specific AI skills and experience.


Applied Engineer (Solution Consultant) - Supply Chain

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 job description heavily emphasizes AI/ML/LLM technologies and their application to solve business problems. The candidate is expected to have a strong understanding of generative AI techniques and relevant libraries.


Applied Value Engineer

Process Intelligence, AI Agents, LLM Applications

Machine Learning
LLM
RAG
Prompt Engineering
Python
LangChain
Data Engineering
AI Roadmaps
AI Strategy
Generative AI
MLOps

The role explicitly focuses on building AI solutions, prototyping with LLMs, and deploying AI agents. The job description heavily emphasizes AI/ML technologies and their application to customer problems. The requirements list specific AI skills and experience.


Member of Technical Staff (Product Data Scientist, Search Quality)

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

The role explicitly focuses on developing data-driven insights to improve search quality using A/B testing, LLMs, and data pipelines. The core responsibilities are heavily centered around data science and machine learning techniques.

Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in…


Senior Software Engineer, GenAI

LLM
ML
Reinforcement Learning
Data Pipelines
Data Infrastructure
GenAI
NLP

The role is explicitly focused on building and maintaining systems that power GenAI models, specifically RLHF and data pipelines. The description heavily emphasizes AI/ML applications and data quality for LLMs.

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…


AI
ML
LLM
GenAI
Data Science
AI agents
AI applications
AI Platform

The role is explicitly focused on building and enhancing AI-powered applications and Scale's GenAI Platform. The job description heavily emphasizes AI/ML/LLM technologies and their integration into enterprise workflows.

Staff Software Engineer, Full-Stack - Enterprise Gen AI Scale GP (Scale Generative AI Platform) is an enterprise-grade AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a frontend-focused full-stack engineer to help build AI-powered applications that redefine enterprise workflows and push the boundaries of interactive AI. This role is ideal for someone who thrives in a fast-paced environment, enjoys working on a diverse set of projects, and has a passion for crafting high-quality, intuitive user expe…


Technical Program Manager (Computer Vision), Public Sector

Computer Vision
Machine Learning
MLOps
Data Analysis
AI Systems
AI/ML Objectives

The role explicitly focuses on delivering computer vision solutions for a national security customer, managing technical implementation, and aligning resources around AI/ML objectives. The description heavily emphasizes AI-related tasks and requires a deep understanding of ML operations.

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade computer vision solutions and delivering them into operational use cases that matter. We’re hiring a technical program manager (TPM) to lead and coordinate delivery of computer vision workflows for a national security customer. As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to alig…


Forward Deployed Engineer, GenAI

LLM
ML
Reinforcement Learning
Data Processing
Data Infrastructure
AI Model Evaluation
GenAI

The role is explicitly focused on building data infrastructure for GenAI models, working with leading AI companies, and solving complex AI data problems. The responsibilities and requirements heavily emphasize AI/ML concepts and applications.

About Scale AI 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 public an…


Infrastructure Software Engineer, Enterprise GenAI

LLMs
vector databases
Machine Learning
AI technologies
Data Warehousing
Cloud Computing

The role is focused on building and scaling infrastructure for a Generative AI platform (Scale GP). The description explicitly mentions LLMs, vector databases, and AI technologies, indicating a core focus on AI development and deployment.

Scale GP (Scale Generative AI Platform) is an enterprise-grade 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 core infrastructure 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 implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, high…


Product Manager, Gen AI

GenAI
ML
Data Science
LLM
NLP
Data Labeling
AI Model Training
AI Evaluation

The role is deeply embedded in building the data infrastructure that powers AI models, specifically GenAI. The PM will directly shape AI model quality through the products they build. The description explicitly mentions AI/ML, data labeling, model training, and evaluation as core responsibilities.

Scale AI builds the data infrastructure that powers the world’s most advanced AI. We are the trusted data partner behind frontier model makers and enterprise AI teams — providing the high-quality training data, evaluation frameworks, and human-feedback systems that make models smarter, safer, and more capable. Scale operates as a two-sided marketplace. On the demand side , our customers — leading AI labs and enterprises — need precisely labeled, expert-curated data to train and evaluate their models. On the supply side , we work with a global network of…


Product Manager, Public Sector GenAI Test & Evaluation (T&E)

LLM
RAG
Machine Learning
AI Evaluation
AI Applications
MLOps
Data Science
GenAI

The role is explicitly focused on GenAI test & evaluation, owning the roadmap for evaluation capabilities, and improving the performance of agentic applications. The qualifications heavily emphasize technical expertise in AI systems and evaluation methodologies.

At Scale, our mission is to develop reliable AI systems for the world’s most important decisions. The Public Sector team is at the forefront of this mission, partnering with government agencies to deploy mission-critical agentic solutions. Role Overview The Public Sector GenAI T&E Product Manager will be a high-horsepower technical leader, defining the vision and owning the roadmap for our evaluation capabilities. This role requires thriving in unscripted, high-stakes environments, as you will be the primary owner for the T&E tech stack—the robust infra…


Staff Data Scientist

Machine Learning
Data Science
Data Analysis
Python
SQL
Spark
Forecasting
Recommendation Systems
Segmentation
Churn Prediction
Data Modeling

The role explicitly focuses on building and deploying data science solutions, including ML models, for business problems. The job description highlights core data science tasks like segmentation, recommendation systems, forecasting, and churn prediction. The candidate is expected to have extensive experience in applying Data Science / ML for end-to-end development and deployment.

P-57 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 Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to F…


Staff Data Scientist - Trust and Safety

Machine Learning
Data Science
MLOps
Data Analysis
Statistical Modeling
Python
Spark

The role explicitly focuses on developing and implementing ML models for fraud and abuse detection, analyzing security feature performance, and building data-driven solutions for compliance. This is a core data science/ML role.

RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe. Our engineering teams build highly technical…


Staff Software Engineer, Fullstack - AI Product (NYC)

GenAI
LLM
MLOps
Data Science
AI Product Development
AI/ML Infrastructure

The role explicitly focuses on building and shipping generative AI products with a significant UI/UX component. The description highlights creating interfaces for GenAI agents and leveraging Databricks' AI platform. The emphasis on 0-to-1 product development in the AI space strongly indicates a core AI role.

P-1607 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our ser…


Senior Data Scientist

Data Science/Machine Learning Infrastructure

Machine Learning
Data Science
MLOps
Data Analysis
Python
SQL
Spark
Hadoop
Product Analytics

The role explicitly focuses on building data-driven products, applying ML in production, and working with data science areas like forecasting and user behavior analysis. The candidate will be a key contributor to the company's AI platform and data strategy.

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 infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small…


Principal Data Scientist

Data Science
Machine Learning
Statistical Modeling
Causal Inference
Forecasting
Experimentation
Data Analysis

The role is explicitly focused on applying data science and statistical rigor to drive executive decision-making at a high level. The job description emphasizes expertise in core data science disciplines and building data-driven methodologies.

RDQ427R169 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data Science organization. This person will make Databricks smarter and more data-driven at the highest levels of leadership — translating the full power of data science into clear, actionable narratives for our CEO, C-suite, and Board of Directors. Our vision is simple: data drives every Databricks decision and action. To get t…


Data Scientist, Platform Product

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

The role is deeply embedded within an AI company (Anthropic) and focuses on data science to drive decision-making for their core AI platform (Claude). The responsibilities explicitly mention AI agents, platform adoption, and building statistical models to support operational processes. The qualifications also highlight experience with AI/ML products and large language models.

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 part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. Y…


Data Scientist, Developer Productivity

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

The role is explicitly focused on applying data science to improve developer productivity *specifically* within the context of building and using AI systems (LLMs). The description highlights analyzing AI-augmented development workflows and tooling. The preferred qualifications strongly emphasize experience with AI/ML products and the AI/ML ecosystem.

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 part of our growing Data Science and Analytics team, you'll play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision making across the company…