Top Artificial Intelligence Jobs in Germany

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

As a Senior Forward Deployed Engineer, you'll deliver AI solutions, engage with customers, and lead project lifecycles, including deployment and integration.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

The Engineering Manager - AI will lead a collaborative team, manage software engineering projects, and focus on building a user-centric deliverable while ensuring high quality and performance in AI-based applications.

As a PhD Research Intern, you will develop methods for 2D and 3D models, evaluate AI workflows, and collaborate on research projects. You'll produce documentation and potentially publish your findings.

Design and implement the user experience for an AI-powered Anti-Money-Laundering platform, focusing on intuitive interfaces, workflow automation, and collaboration with product and engineering teams.

The role involves designing and implementing AI solutions for semiconductor applications, developing multi-agent systems, and collaborating with cross-functional teams for seamless deployment.

This role involves driving AI, Data, and Digital sales in the financial services sector, focusing on complex enterprise deals and relationship management.

Design and build high-performance backend systems for financial applications. Collaborate with teams to create scalable architectures and implement AI-driven features.

Translate legal expertise into AI-powered workflows and Libra Assistants by partnering with Product, Engineering, Sales, and clients to design, implement, and optimize solutions. Support pilots, enable customers, create training content, and provide product feedback to improve accuracy and adoption.

Design, implement, and optimize neuromorphic AI software stack components (model optimization, compiler, runtime). Collaborate with hardware architects, customers, and ecosystem partners to integrate and benchmark solutions for robotics, IoT, and sensing frameworks.

The role involves designing, developing, and validating software for satellite communication systems, focusing on AI integration and system management.

Responsible for designing and developing software for satellite communication management, including AI integrations, while supporting subcontractor coordination and software validation.

Manage end-to-end technology projects for an AI platform, coordinating across teams and ensuring quality delivery. Drive project planning, stakeholder communication, and issue resolution in a fast-paced environment.

Develop production automotive software for AI inference using C++. Collaborate on real-time AI systems for vehicles, integrating machine learning models and optimizing performance.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Lead the development and deployment of AI solutions in industrial settings, bridging technology exploration and practical applications. Responsible for guiding AI decisions, collaborating with teams, and driving customer-focused solutions.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The AI Operations Associate will master the customer lifecycle, design and scale business processes, and collaborate closely with engineering to enhance customer experiences. This role requires hands-on problem-solving and initiative leadership.

As Director of Data, you will lead the Data & AI function, building a team to execute data strategy and drive business value in financial services.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.