Materials ML Engineer

Discover novel materials with ML. Train property-prediction models, run active-learning loops over DFT calculations, and validate candidates experimentally.

Unknown employer is looking for a Senior-level practitioner who can own outcomes end-to-end. You will partner with product, research, and platform teams to ship reliable AI-powered features, instrumented with the evaluation harnesses this role is responsible for.

Day-to-day you will design systems around Materials science, PyTorch, DFT, write production code, review pull requests, run evaluations, and contribute to a blameless postmortem culture. We expect strong written communication and comfort working in a fast-moving, evidence-driven environment.

This role is remote-friendly and reports into the AI practice. Compensation ranges from $140K–$210K plus equity and benefits. We are an equal-opportunity employer and actively seek candidates from non-traditional backgrounds who have built real AI systems.