Responsibilities
- Design and test few-shot imitation learning methods emphasizing efficient data use
- Improve internal benchmarks in imitation learning, policy development, and control-oriented representation learning
- Conduct thorough experiments on physical robots and support the data systems and infrastructure involved
- Refine experimental models into reliable, production-ready algorithms
- Work closely with perception and systems integration teams to transition research into deployed solutions
- Contribute to defining the organization's long-term research direction
Benefits
- A well-defined and challenging research goal with tangible real-world outcomes
- Access to a varied collection of high-performance robots, including humanoid platforms, for experimentation
- Opportunity to deploy research directly into operational environments
- Close partnership with engineering groups to bring research to scale
- High level of influence over research priorities as a founding team member
- Part of a concentrated, technically capable group with a rigorous engineering mindset
- Work in English without requirement for local language proficiency
- Competitive salary package including equity participation
Compensation
Fair compensation + equity
Team
Focused, technically strong team and a serious engineering culture
Benefits
- A clear, ambitious research mission with measurable real-world impact
- A diverse fleet of advanced robots, including humanoids, on which to run your research
- Research that ships: your algorithms run on real machines in real factories
- Tight collaboration with engineering teams that take your work to production
- Significant ownership of the research agenda as an early member of the team
- A focused, technically strong team and a serious engineering culture
- English-speaking working environment, no French required
- Fair compensation + equity
