Director, Enterprise Machine Learning & Research

Scale

San Francisco, CA, US
Base: $289,800 - $362,250 usd; equity: included ba...
On-site
8+ years hands-on ml research experience
Phd or equivalent in deep learning
Track record of top-tier ml publications
The role involves leading a world-class team of research scientists and engineers to build cutting-edge AI systems using proprietary data and infrastructure

Job Summary

  • The role involves leading a world-class team of research scientists and engineers to build cutting-edge AI systems using proprietary data and infrastructure.
  • Candidates must define a multi-year research roadmap, balancing deep technical leadership with people management and execution from prototyping to deployment.
  • Compensation includes a base salary range of $289,800 to $362,250 USD along with equity, comprehensive health benefits, and a learning stipend.

Matching Summary

The role involves leading a world-class team of research scientists and engineers to build cutting-edge AI systems using proprietary data and infrastructure.

Salary

Base: $289,800 - $362,250 USD; Equity: Included based on Board approval; Benefits: Comprehensive health, dental, vision, retirement, learning stipend, PTO

Skills & Requirements

Must-have

  • 8+ years hands-on ML research experience
  • PhD or equivalent in deep learning
  • Track record of top-tier ML publications
  • Experience leading research teams
  • Expertise in generative models and agents

Nice-to-have

  • Experience deploying agent-based LLM systems
  • Ownership of enterprise AI platforms
  • Direct partnership with enterprises for use cases
  • Open-source contributions and conference presentations

Key Requirements

  • 8+ years of hands-on research experience
  • PhD or equivalent preferred
  • Publications in NeurIPS, ICML, ICLR, ACL
  • Proven track record of research excellence
  • Experience leading or managing research teams

Work Rights

Not specified

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