Machine Learning Scientist, Biomolecular Structure Prediction
Profluent · Emeryville, California, United States · Emeryville, CA
Bio & Science AIonsite$212k–$339k
At a glance
Highlights
- Build all-atom co-folding models for antibody-antigen interfaces.
- Tackle protein-nucleic acid assemblies to advance genome editing.
- Shape structure modeling alongside generative models and lab platforms.
What they offer
- Competitive compensation package with equity participation
- 401(k) with a strong employer match
- Comprehensive benefits including health/dental/vision insurance
- Generous PTO policy and commitment to work-life balance
- Professional development opportunities in a cutting-edge field
Ideal candidate
Self-directed researcher who has trained structure prediction models and is driven to close the gap on hard antibody and nucleic-acid complexes to accelerate real design.
Requirements
- PhD or equivalent industry experience in computer science, computational biology, biophysics, or related field
- Hands-on experience building and training biomolecular structure prediction models at a leading lab
- Publications at major ML conferences or top science journals, or widely used open-source models
- Experience with deep learning frameworks such as PyTorch or JAX, including multi-GPU training
Lab profile
About Profluent
Frontier AI lab building foundation models for life's molecules to transform medicine and agriculture.
What they build
- Foundation models for life's molecules
Known for
- Foundation model pretraining and BioML
- Reinforcement learning for biology
- Bioinformatics and data science
- CRISPR specificity and genomic safety
Key facts
- Founded in 2022
- Headquartered in Emeryville, CA
- Raised over $150M to date
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