AI Engineer (Full Time)​

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At Dayhoff we're reverse engineering the chemistry of life from its origins. This means building frontier AI models in biology and chemistry from molecular structure and dynamics to reactions and reaction networks. You'll help design and train those models. Concretely, the work pulls across three threads: enzyme–substrate prediction, neural network potentials and inverse design of chemical and biochemical reaction networks. 

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We're a team of AI researchers, engineers, chemists and biochemists across wet and dry labs in Boston and London. We work closely with  several of the leading labs internationally. The bet we're making is that the origin of life isn't a curiosity question - it's the missing chapter of biochemistry, and writing it gives us models the rest of the field can't build.

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What we need: you've trained large models end-to-end and can talk in detail about what broke and how you fixed it. You're comfortable working alongside people whose first language is chemistry rather than AI, and you can translate in both directions. A PhD in something quantitative is common on the team but not required - what's required is depth.

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Compensation and equity are competitive for our home markets. We can discuss relocation and visa sponsorship for the right candidates.

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To apply, email careers@dayhofflabs.com with two things:

1. One paper from the last 18 months in ML-for-chemistry or ML-for-biology that you think matters, and one that you think is overrated. A paragraph on each.

2. Something you've built that you're proud of - link, repo, or short description.