AI for Science Residency – Machine Learning Resident
Core
Develop efficient and expressive machine learning models to address fundamental materials science problems and drive a research agenda on ML for materials.
Role type
Research-focused machine learning resident (PhD level)
Builds
Large-scale infrastructure for data generation, model training, and inference
Domain
Materials science + Machine Learning
Deliverable
production ML models
Required skills
generative models, agent-driven research, code development, materials science problems, top-tier publication track record, interdisciplinary collaboration
Preferred skills
none stated
Technologies
none stated
Responsibilities
develop efficient and expressive machine learning models, work with domain experts to develop realistic machine learning metrics and benchmarks, prepare technical papers and presentations, contribute to building large-scale infrastructure for data generation, model training and inference
Seniority
PhD level, research resident