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 developing general AI that can reason and act in the physical world by leveraging massive data infrastructure

Job Summary

  • The role focuses on developing general AI that can reason and act in the physical world by leveraging massive data infrastructure.
  • Candidates must balance technical leadership with hands-on contribution, spending approximately 60% of their time writing code to implement and train state-of-the-art 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 developing general AI that can reason and act in the physical world by leveraging massive data infrastructure.

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 leading technical teams in research-intensive environments
  • Proven track record with VLM/VLA experience
  • Experience with large-scale distributed training across GPU clusters

Work Rights

Not specified

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