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Anthrogen

Member of Technical Staff (Research Scientist)

San Francisco, California, United States

Location
San Francisco, California, United States
Work
On-site
Employment
Full-time
Level
Lead / staff
Function
Other
Pay
$150K – $380K a year
Posted
4 months ago

Pay and the market here

The top of this role’s range, $380K a year, is 53% above the median of $248K for lead / staff other jobs in San Francisco (middle half $180K – $300K, 81 jobs that state pay).

548 other jobs open in San Francisco: 11% remote, 88 posted in the last 30 days.

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About the role

About Anthrogen

Anthrogen is engineering post-modality biology. Today's modalities reflect historical contingencies in biological progress, not fundamental categories. We develop the AI systems that design modular biological machines — and the experimental infrastructure to instantiate them. We're a small, high-density team in San Francisco building frontier AI and the biological systems to validate it, and we care most about people who move fast, go deep, and pick up whatever the problem needs.

The role

We want researchers with great intuition in machine learning and solid fundamentals —irrespective of bio background. You'll drive original research on the architectures, training objectives, and scaling behind our models, owning an agenda from idea to result. We're a small, high-density team building frontier AI and the biological systems to validate it, and we index on research taste and output, not credentials.

What you'll do

  • Push on generative models (diffusion, autoregressive), architectures, optimization, and scaling.
  • Turn research directions into models that work, in close collaboration with our engineering team.
  • Help define what frontier AI for biology looks like.

Who you are

  • You have a track record of original research (first-author work at NeurIPS, ICML, ICLR, AISTATS, JMLR, TMLR, other top conferences/journals, impactful open models, or comparable research output).
  • Deep command of modern deep learning: generative models, architectures, optimization, and scaling.
  • You drive a research agenda independently, from idea to experiment to result.
  • High-agency, in person, and comfortable with the ambiguity of frontier research.

Bonus points

  • Range across subfields — a strong researcher who picks up new domains fast, or meaningful time in an ML-for-something domain (robotics, biology, physics).
  • Widely-used open-source models or research artifacts.
  • Familiarity with the protein-ML landscape.
  • Interest in biology, protein design, and AI for science.

Logistics

Full-time, onsite in San Francisco.

Equity: 0.05-0.5%.

Source

Posted by Anthrogen on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 12:01 UTC; the original is the reference.

View the original ad ↗

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