Base: $248,800 - $311,000 usd; equity: included ba...
On-site
Expert-level pytorch proficiency
Deep knowledge of transformer architectures
Experience with vision-language models
The role focuses on developing Large-Scale Foundation Models like VLAs and World models to enable robots to generalize across diverse tasks and environments
Job Summary
The role focuses on developing Large-Scale Foundation Models like VLAs and World models to enable robots to generalize across diverse tasks and environments.
Candidates will lead a team of 4-6 elite researchers while dedicating approximately 60% of their time to hands-on technical contribution and code implementation.
The position offers a competitive base salary range of $248,800 to $311,000 USD along with equity, comprehensive health benefits, and a learning stipend.
Matching Summary
The role focuses on developing Large-Scale Foundation Models like VLAs and World models to enable robots to generalize across diverse tasks and environments.
Salary
Base: $248,800 - $311,000 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, learning stipend, PTO
Skills & Requirements
Must-have
Expert-level PyTorch proficiency
Deep knowledge of Transformer architectures
Experience with Vision-Language Models
Hands-on coding for SOTA architectures
Large-scale distributed training experience
Nice-to-have
First-author publications at top-tier conferences
Experience with Isaac Gym or MuJoCo simulators
Background in cross-embodiment training
High-fidelity simulator domain adaptation
Key Requirements
1+ years leading technical teams in research-intensive environments
Proven track record with VLM/VLA adaptation for embodied tasks
Strong understanding of imitation learning and reinforcement learning