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Open nowPosted 6 hours ago

Group Lead AI Engineering (human)

Neura Robotics421 open roles

Where
Europe
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Your applicationOpen nowGroup Lead AI Engineering (human)Neura Robotics · Europe

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Neura Robotics postings stay open a median of 32 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 6 hours ago

Neura Robotics median: 32 days open

The posting

YOUR MISSION & CHALLENGES

NEURA is scaling its AI department to execute on our product roadmap. As Group Lead AI Engineering, you own a focused sub-team within the AI department. You set technical direction, make critical architectural decisions, and unblock your engineers, while remaining hands-on enough to review work, challenge approaches, and demonstrate what great looks like.

- Own the technical roadmap of your sub-team: define goals, break them into executable engineering tracks, and ensure alignment with the broader AI and product strategy.

- Lead and grow a high-performance team of AI engineers: recruit top talent, conduct technical interviews, set performance expectations, and develop individual contributors into senior engineers.

- Drive research-to-production transitions: evaluate state-of-the-art methods, assess feasibility, and build the engineering bridges that get AI models running reliably on real robot hardware.

- Collaborate cross-functionally with Software, Hardware and Product Management to align AI capabilities with platform requirements and customer use cases.

- Define and track engineering quality: establish testing standards, model evaluation pipelines, deployment metrics, and data governance practices for your domain.

- Step in hands-on when your team hits hard blockers: review training runs, debug model behavior, challenge architectural assumptions, and lead by example in solving hard problems.

- Aggregate lessons learned and feed them back into the core AI roadmap

WHAT WE CAN LOOK FORWARD TO

- An excellent Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field

- 7+ years of hands-on ML or robotics AI engineering, with at least 2 years in a formal or informal technical lead role. Production systems experience is essential.

- Strong command of at least two of: vision-based perception, manipulation & control, reinforcement / imitation learning, multimodal foundation models, or scalable MLOps.

- Strong Python (C++ is a plus); practical PyTorch or JAX experience; familiarity with cloud infrastructure (AWS, GCP, or Azure) and CI/CD for ML systems.

- Comfort working with real robot hardware and simulation environments (IsaacSim, MuJoCo, or equivalent). You understand that real-world deployment is the only true test.

- Proven ability to set technical direction, mentor engineers, conduct code and design reviews, and make decisions under uncertainty.

- You translate between researchers, product managers, and hardware engineers without losing precision. Professional English required; German is a strong plus (B2–C1).

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