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.
Head of Technical Staff at YC-backed biotech scaling 100B+ parameter protein models
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.
Overview
Role overview
Company
Anthrogen
YC S24 biotech startup raised $11M from Paul Graham and Box Group building 100B+ parameter protein foundation models
Responsibilities
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.
Candidate profile
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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What makes it remarkable
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.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.