Dayhoff Labs - AI Research Scientist

Cambridge, MA, London, UK3mo ago

In Office EMEA Logistics Artificial Intelligence AI Engineer Research Scientist

Requirements

• Demonstrated experience training large models end to end, with the depth to discuss in detail what broke and how you fixed it • Strong ML engineering fundamentals: architectures, training dynamics, data pipelines, and evaluation • Ability to communicate complex technical concepts clearly to colleagues whose first language is biology and chemistry rather than AI • Highly preferred • Highly preferred • PhD in a quantitative field (common on our team, but depth matters more than credentials) • Experience in ML-for-chemistry or ML-for-biology (e.g., neural network potentials, graph neural networks, protein or reaction models) • Familiarity with computational chemistry or biochemistry concepts and workflows • Logistics • Compensation is highly competitive. We're also able to sponsor visas for the right candidate.

Responsibilities

• Train large models across three threads: enzyme–substrate prediction, neural network potentials, and inverse design of reaction networks • Own models end to end — architecture, data pipelines, training, debugging, evaluation • Work directly with chemists and biochemists, and translate between the two fields fluently • Fold experimental feedback from partner labs into each iteration

Benefits

• Pick one paper from the last 18 months that you think is underrated and/or very impactful. It can be ML-for-chemistry, ML-for-biology, or a general ML paper you've chosen because you think it has useful implications for one of those fields. Briefly explain your reasoning in a few sentences. • E.g., home page, project where you were a main contributor.