AI R&D Engineer – Model Training (f/m/d)

• You will work across our full stack. Some weeks you might be optimizing how training loads are scheduled on our cluster and making the pipeline more robust and performant so we can iterate faster. Other weeks, you will be enabling large-scale code execution for reinforcement learning. And at other times, you might dig deep into our evaluation codebase to lift inference throughput on evals.
• No two days are the same. Things move fast, and your ability to focus and prioritize is what lets you unblock the team day-to-day while designing the high-quality tooling and infrastructure that speeds us up long-term.
• We're still building out our training pipeline and infrastructure. Some pieces exist, some do not, and you will have real influence on what gets built and how. Your work directly shapes how quickly we can experiment and improve our models.
• Identifying issues and taking initiative is what drives our day-to-day work.
• Working mode, design decisions, priorities are all done in your team together with your team mates.

The strongest teams often use highly collaborative techniques, like mob or pair programming.

• Due to the highly collaborative nature of our work you are expected to be on-site at least two days a week. If you are in Berlin, you should expect to travel around every second month for a few days to Heidelberg.
• We are specifically looking to strengthen the Software Engineering in the teams which are research heavy. Major points include improving the maintainability of our code through tests and design & architecture changes.

Requirements

• At its core, you need to be able to dive into a codebase, change the behavior as necessary, and after the change the code should be better tested and easier to understand than before.
• As such we look for candidates for an understanding of how to design for low coupling and high cohesion paired with the ability to incrementally refactor.
• Experience with the following technologies is likely to be helpful:
• Test Driven Development (TDD)
• Trunk based development
• Continuous integration
• Domain Driven Design

Nice-to-haves

• Most of our code is in Python, there is also the occasional Rust codebase.
• Large parts of our training pipeline are built on top of Kubernetes.
• We do not hire for skills in a particular technology or language, but rather ability to learn and mindset, yet experience with these technologies is a plus.

What we offer

• Become part of an AI revolution!
• 30 days of paid vacation
• Access to a variety of fitness & wellness offerings via Wellhub
• Mental health support through nilo.health
• Substantially subsidized company pension plan for your future security
• Subsidized Germany-wide transportation ticket
• Budget for additional technical equipment
• Flexible working hours for better work-life balance and hybrid working model
• JobRad® Bike Lease

Note: We welcome applicants at every stage of their career. Your drive and willingness to learn are far more important to us than strict experience requirements.

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Auf Jobportal gelistet am 07. Nov. 2026

Auf Jobportal gelistet am 07. Nov. 2026