Technical Lead Manager, Physical Ai

Scale

San Francisco, CA, United States
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 bridging the gap between cutting-edge Machine Learning research and physical robot deployment by leading a team of Research Engineers

Job Summary

  • The role focuses on bridging the gap between cutting-edge Machine Learning research and physical robot deployment by leading a team of Research Engineers.
  • Candidates will direct research into scaling laws for Physical AI and develop novel methods for evaluating Vision-Language-Action models and World models.
  • The position offers a competitive compensation package including base salary ranging from $248,800 to $311,000 USD, equity, and comprehensive benefits.

Matching Summary

The role focuses on bridging the gap between cutting-edge Machine Learning research and physical robot deployment by leading a team of Research Engineers.

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
  • Background in Embodied AI and RL
  • Hands-on coding for SOTA architectures

Nice-to-have

  • First-author publications at top-tier conferences
  • Experience with Isaac Gym or MuJoCo simulators
  • Track record of cross-embodiment training
  • High-fidelity simulator domain adaptation

Key Requirements

  • 1+ years of technical leadership experience
  • Proven track record with VLM/VLA adaptation
  • Experience with large-scale distributed training

Work Rights

Not specified

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