AI jobs in Germany
Berlin, Munich, Hamburg, Frankfurt, Cologne, Stuttgart and remote roles with a Germany signal.
AI Job Radar
This list highlights roles with a direct and well-supported AI focus. Each role links back to the original source.
Regions and filters
Germany and Europe remain central entry points. You can also open remote, new and entry-level roles directly.
Berlin, Munich, Hamburg, Frankfurt, Cologne, Stuttgart and remote roles with a Germany signal.
Germany, France, Netherlands, UK, Switzerland, Austria and other European markets.
Remote and hybrid roles from the current radar data.
Roles recently seen or updated.
Junior, graduate, internship and working-student AI roles.
Compare a CV against a concrete job and derive next steps.
10 results on this page. 1628 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Lyft · Toronto Coworking
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights experience with LLMs and translating research into production systems. Responsibilities are heavily weighted towar…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Lyft · Seattle Office
Why this is a real AI job: The role explicitly focuses on constructing and fitting machine learning models, performing data analysis, and implementing algorithms in production. The responsibilities are heavily centered around core data science and ML tasks.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and withi…
Lyft · New York Office, San Francisco Office
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications. The description highlights the use of ML to solve core business problems and improve the ride-sharing platform. The required experience stron…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Lyft · San Francisco Office
Why this is a real AI job: The role explicitly requires building and deploying machine learning and optimization models for a core business function (pricing and rider engagement). The responsibilities heavily focus on data science tasks, and the required experience includes a quantita…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in a dynamic environment, and…
Lyft · New York Office, San Francisco Office
Why this is a real AI job: The role explicitly focuses on designing, building, and deploying machine learning models for real-time applications within a core business function (Fulfillment). The job description emphasizes ML system performance, experimentation, and translating research…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creat…
Lyft · Toronto Office
Why this is a real AI job: The role explicitly focuses on building and fine-tuning LLMs, developing AI agents, and creating evaluation frameworks for safety-critical applications. The job description details specific AI/ML techniques and tools used in the core responsibilities.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's pr…
Lyft · San Francisco Office
Why this is a real AI job: The role is explicitly focused on ML research and development, with a strong emphasis on building and deploying ML models. The responsibilities and required experience are heavily centered around AI/ML techniques.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative…
Lyft · New York Office, San Francisco Office
Why this is a real AI job: The role explicitly focuses on leading technical initiatives in machine learning, algorithm development, and production deployment of ML models. The responsibilities are overwhelmingly centered around building and scaling AI-powered solutions for Lyft Busines…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…
Lyft · New York Office, San Francisco Office
Why this is a real AI job: The role explicitly focuses on leading technical initiatives in machine learning, algorithm development, and production deployment of ML models. The responsibilities are overwhelmingly centered around building and scaling AI-powered solutions for Lyft Busines…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, movi…
Lyft · Toronto Coworking
Why this is a real AI job: The role explicitly focuses on designing, building, training, and testing ML models, and converting them into production pipelines. The job description heavily emphasizes ML workflows, data analysis, and practical application of ML research. The candidate req…
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative…