Computational Materials Science Expert

This is a remote, project-based role for machine learning professionals with deep expertise in computational materials science. You will complete tasks at the intersection of ML and materials research — including model development, simulation data analysis, and research tasks applied to real atomistic, electronic, or structural materials datasets. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge materials research problems, and a strong addition to your research portfolio.

Required qualifications

• Published researcher with at least one first-author publication in a peer-reviewed journal
• Demonstrated expertise in both machine learning and computational materials science (e.g., DFT, force field development, atomistic simulation, or materials informatics)
• Strong problem-solving skills and ability to work independently on technical tasks
• Master's or PhD in Materials Science, Computational Chemistry, Physics, Computer Science, or a related quantitative field

Why apply

• Flexible Time Commitment – Work on your schedule while tackling meaningful scientific challenges
• Startup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apart
• Exceptional Pay – Project-based pay ranges from $150–$200/hour
• Portfolio Building – Gain experience applying ML to frontier computational materials problems
• Professional Growth – Sharpen your skills on complex, real-world materials datasets and models