About the role
- Research and develop novel AI methods for general-purpose mobile manipulation robots
- Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale
- Work cross-functionally with other scientists, engineers and product teams to deploy AI systems on real robot platforms
Requirements
- You have hands-on experience either building and deploying AI systems on physical robots or developing large vision-language models
- You are a highly proficient software engineer in at least one programming language (preferably Python)
- You have hands-on experience with AI frameworks (preferably PyTorch)
- You have high engineering competence. This means being able to design complex software and make it usable in production
- You are a self-starter, autonomous and a team player
- You have experience in one or more of the following: navigation, manipulation, simulators, 3D, embodied reasoning or vision-language-action models
- You can navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment
- You have a strong publication record in a relevant scientific domain
- 💰 Competitive cash salary and equity
- 🥕 Food : Daily lunch vouchers
- 🥎 Sport : Monthly contribution to a Gympass subscription
- 🚴 Transportation : Monthly contribution to a mobility pass
- 🧑⚕️ Health : Full health insurance for you and your family
- 🍼 Parental : Generous parental leave policy
- 🌎 Visa sponsorship
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI methodsmobile manipulation robotsAI frameworksPythonPyTorchMLOpsnavigationmanipulationvision-language models3D
Soft skills
self-starterautonomousteam playerhigh engineering competence