ML Intern, Research
Core
Developing AI systems for drug discovery, including multi-omic foundation models, structural biology methods, and autonomous science.
Role type
ML Research Intern
Builds
Novel ML methods and distributed machine learning systems for drug discovery
Domain
Biotech / Drug Discovery / Deep Learning
Deliverable
production ML models
Required skills
Python, distributed machine learning system design, deep learning algorithm implementation, model deployment, scientific literature analysis, linear algebra, calculus, statistics
Preferred skills
peer-reviewed publication authorship, high-visibility codebase contribution, domain knowledge in biology/chemistry/physics
Technologies
Python
Responsibilities
Support primary research programs in ML for drug discovery; Create and improve novel ML methods; Collaborate with interdisciplinary scientists; Present research findings through talks, blog posts, publications, and conferences
Seniority
Intern
