Responsibilities
- Develop and test perception models for robotic manipulation, including object recognition, segmentation, pose estimation, and scene understanding
- Improve internal benchmarks in perception for embodied agents, prioritizing resilience and efficient use of data
- Conduct controlled experiments on physical robots, contributing to data pipelines, evaluation frameworks, and testing infrastructure
- Refine research prototypes into reliable perception modules suitable for integration into production systems
- Work closely with Robot Learning and Integration teams to transition experimental systems into deployed solutions
- Contribute to defining the long-term research direction and technical vision of the organization
Benefits
- A well-defined and challenging research goal with tangible real-world outcomes
- Access to a varied collection of advanced robotic platforms, including humanoid systems
- Opportunity to deploy research directly into operational environments
- Close coordination with engineering teams to bring research into production
- High level of influence on research priorities as an early team member
- Part of a concentrated, technically proficient team with a strong engineering ethos
- Work in an English-speaking environment, with no requirement for French
- Competitive salary package with equity participation
Compensation
Fair compensation + equity
Work Arrangement
On-site
Team
Focused, technically strong team and a serious engineering culture
Other
- English is the internal working language
- No French required
