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Head of Technical Staff at Anthrogen

Join an elite team of frontier researchers building the world's largest protein foundation models. Backed by $11M from Y Combinator and Paul Graham, this SF-based startup is using a 102B parameter model to design novel therapeutics and molecular machines from scratch. As Head of Technical Staff, you will lead production ML pipelines and scale a world-class team, working at the intersection of large-scale AI and wet-lab validation. If you have experience at a frontier lab like OpenAI or DeepMind and want to see your models create real-world biological impact, this is the most compelling role in Bio-AI today.

About this role

Role overview

You will lead the end-to-end production model pipeline for Odyssey, the world’s largest biological foundation model. Managing the Technical Staff team, you'll drive pretraining, post-training, and inference strategies to design novel proteins with atomic precision. This is a high-impact leadership role bridging fundamental AI research and wet-lab validation.

About the company

Anthrogen

Anthrogen

Biotechnology

YC S24 biotech startup raised $11M from Paul Graham and Box Group building 100B+ parameter protein foundation models

What you'll do

What you will do

  • Own the entire lifecycle of protein foundation models, from large-scale pretraining to inference and multi-objective optimization.
  • Lead and scale the Technical Staff team, making critical architectural decisions that define the company's technical trajectory.
  • Collaborate directly with the co-founders and the wet-lab platform team to validate AI-generated proteins through parallelized experiments.

Who you are

Who this is a fit for

  • Must have 2+ years of genuine experience at a frontier AI lab like OpenAI, Anthropic, DeepMind, or a top bio-AI organization like Isomorphic.
  • Proven track record of large-scale model training and publications at top-tier venues such as NeurIPS, ICML, or ICLR.
  • Deep technical expertise in ML research combined with a genuine passion for biology and applying AI to molecular design.

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Why this role

Why this role is remarkable

  • Lead production ML for a category-defining 102B parameter model that designs proteins non-existent in nature to solve global health challenges.
  • Join an elite team of ~10 researchers backed by $11M in seed funding from Y Combinator, Paul Graham, and top-tier investors.
  • Exceptional compensation package including a $500k base salary and significant equity in a company currently scaling toward a Series A.

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