Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Foundation Models role.
Rezi rewrites your resume against Genesis's job description. Free.
Tailor your resume to this Foundation Models role.
Rezi rewrites your resume against Genesis's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Foundation Models posting at Genesis — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Foundation Models posting at Genesis — free, in seconds.
About the Role
Build machine learning models for robotics control end-to-end, including data curation, evaluation, model architecture, training/inference stacks, and experiments. Collaborate with simulation and real-world robotics teams to curate high-quality datasets. Design generative simulation techniques and train generative models. Collaborate with a team committed to building general-purpose Physical AI.
Responsibilities
- Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments
- Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets
- Curate the world’s best Internet-scale datasets for embodied perception and first-person robot video generation
- Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI
Requirements
- Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering
- Exceptional ownership and initiative—finding and solving problems independently
- Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years)
- A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail
- Production-level expertise in modern Python
Skills
- Machine learning
- Robotics control
- Data curation
- Model architecture
- Training/inference stacks
- Generative simulation
- 3D object modeling
- Environment modeling
- Language models
- Code models
- Physical AI
- Full-stack foundation model research
- Full-stack foundation model engineering
- Python
- Vision-Language-Action models
- Embodied perception
- Video generation
Experience Level
- 5+ years