Machine Learning Scientist - Synthesis Planning and Optimization
South San Francisco, United States
USD 147K-310K Senior-level Full Time
Tasks
- Build active learning pipelines with automated synthesis
- Collaborate with computational and experimental researchers
- Design batch synthesis planning algorithms
- Develop machine learning methods for synthesis aware molecular design
- Drive scientific impact through publications open source and conference talks
- Integrate reaction and biochemical data
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Cheminformatics | Graph Neural Networks | JAX | Language Models | Linear Algebra | Machine Learning | Molecular Generation | Molecular optimization | Neural Networks | OpenEye | Optimization | Probability | PyTorch | Python | RDKit | Reinforcement Learning | Retrosynthesis | Scientific Computing | Sequence Models
Education
N/A
Regions
Countries
States
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