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 researcher