Drimva

Goodfire

Machine Learning Engineer

$200K–$400K

San Francisco, CA & New York, NY +1 · Full-time · Posted Dec 4, 2025

Location
San Francisco, CA & New York, NY
San Francisco, California, United States
Experience
5+ years in ML infrastructure, research engineering, or systems programming.

About the job

Build and deploy infrastructure, tools, and product features for training, evaluating, and interpreting machine learning systems at scale.

What you'll do

  • Turn interpretability research into production-ready tools and product features.
  • Optimize infrastructure and pipelines for model interpretability, training, and inference.
  • Deploy and maintain reliable, reproducible, high-performance ML systems.

What they ask for

  • Expertise in Python, PyTorch or Jax, and distributed systems.
  • Experience deploying and maintaining ML systems at scale.
  • Comfort working across research and engineering boundaries.
  • Commitment to understanding model internals and improving their reliability and usefulness.

Nice to have

  • Open-source ML infrastructure contributions.
  • Startup or frontier lab experience in fast-moving teams.

Pay

$200,000 - $400,000 USD (base salary)

Tools

Python, PyTorch, Jax

AI focus

Develop interpretability tools and infrastructure, support large training runs, and turn interpretability research into product features that help understand and design AI systems.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)