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Senior Machine Learning Scientist, AI for Drug Discovery
RocheSenior Machine Learning Scientist at Roche developing self-supervised learning methods for drug discovery. Collaborating with a globally distributed team to advance machine learning in biology.
Posted 5/8/2026full-timeSouth San Francisco • California, New York • 🇺🇸 United StatesSenior💰 $168,100 - $312,300 per yearWebsite
About the role
Key responsibilities & impact- Develop methods in self-supervised representation learning and generative modeling.
- Contribute to publications and present your results at internal and external scientific conferences.
- Collaborate and execute on research that pushes forward the state of the art in machine learning.
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Work with a large and globally distributed team.
Requirements
What you’ll need- You have a PhD degree in Mathematics, Physics, Computer Science, Statistics, Machine Learning, or related disciplines.
- You have 0 – 2+ years of industry or post-doc experience with a focus on deep learning.
- You have publications in academic journals like JMLR or at peer-reviewed ML conferences (e.g., NeurIPS, CVPR, ICML, ICLR, COLT, ICCV, AISTATS, and ACL).
- You have strong communication and collaboration skills.
- Preferred: Published work with theoretical contributions.
- Experience with research related to representation learning and generative modeling.
- Public portfolio of computational projects (available on e.g., GitHub).
Benefits
Comp & perks- A discretionary annual bonus may be available based on individual and Company performance
- Benefits detailed at the link provided
ATS Keywords
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Hard Skills & Tools
self-supervised representation learninggenerative modelingdeep learningexperimental designreusable codeevaluationscomputational projects
Soft Skills
communication skillscollaboration skills
Certifications
PhD