Senior Machine Learning Engineer, Public Sector

Scale

San Francisco, CA, US
Base: $240,450 - $300,300 (sf/ny/seattle) or $216,...
On-site
Generative ai and agentic ai experience
Computer vision model training
Python programming with pytorch or tensorflow
The role focuses on leveraging generative AI, computer vision, and agentic AI to improve products for government partners

Job Summary

  • The role focuses on leveraging generative AI, computer vision, and agentic AI to improve products for government partners.
  • Engineers will build scalable infrastructure to automate ML services and deploy cutting-edge models to mission-critical systems.
  • Compensation includes base salary ranging from $216,300 to $300,300 USD depending on location, along with equity and comprehensive benefits.

Matching Summary

The role focuses on leveraging generative AI, computer vision, and agentic AI to improve products for government partners.

Salary

Base: $240,450 - $300,300 (SF/NY/Seattle) or $216,300 - $269,850 (DC/TX/CO/HI); Bonus/Equity: Equity grant subject to Board approval; Benefits: Comprehensive health, dental, vision, retirement, learning stipend, PTO

Skills & Requirements

Must-have

  • Generative AI and Agentic AI experience
  • Computer Vision model training
  • Python programming with PyTorch or TensorFlow
  • Production environment ML deployment
  • Deep reinforcement learning expertise

Nice-to-have

  • Cloud platform experience AWS or GCP
  • Graduate degree in Computer Science
  • ML evaluation frameworks familiarity
  • Agentic model design experience
  • Large language model fine-tuning

Key Requirements

  • Active security clearance or ability to obtain one
  • Extensive production experience with GenAI and Deep Learning
  • Strong background in algorithms and object-oriented programming

Work Rights

Must have active security clearance or ability to obtain one

Tailored Resume

Cover Letter