AI Research Engineer: Molecular Design & Reaction Modeling

Dayhoff Labs; Cambridge (MA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Dayhoff Labs is seeking a researcher to design and train frontier models spanning biology and chemistry. Your work will directly influence wet-lab experiments as models predict outcomes and guide experiments.

You will own end-to-end model development, collaborate with chemists and biologists, and iteratively fold new data into each cycle to improve predictions. A PhD is highly preferred and visa sponsorship is available.

Qualifications

• Proven experience training large models end-to-end with ability to diagnose and fix issues.
• Strong ML engineering fundamentals across architectures, training dynamics, data pipelines, and evaluation.
• Experience solving chemistry/biology or physically-based problems and communicating with biology/chemistry colleagues.

Responsibilities

• Train large models across enzyme-substrate prediction, neural network potentials, and inverse design of reaction networks.
• Own models end to end: architecture, data pipelines, training, debugging, evaluation.
• Collaborate with chemists/biochemists and translate between biology/chemistry and AI concepts.
• Incorporate new data iteratively to improve models.

Skills

Large model training end-to-end

ML engineering fundamentals

Chemistry/Biology problem experience

Education

PhD in a quantitative field

Tools

Graph neural networks

Neural network potentials

Python / PyTorch

Job description

Dayhoff Labs is seeking a researcher to design and train frontier models spanning biology and chemistry. Your work will directly influence wet-lab experiments as models predict outcomes and guide experiments.

You will own end-to-end model development, collaborate with chemists and biologists, and iteratively fold new data into each cycle to improve predictions. A PhD is highly preferred and visa sponsorship is available.