Machine Learning Scientist, BioML
Profluent · Emeryville, California, United States; Hybrid (2-3 days on-site) · Emeryville, CA · Hybrid (2-3 days on-site)
CHECKED 7H AGO
Bio & Science AIhybrid$212k–$339k
At a glance
Highlights
- Build foundation models for life's molecules to transform medicine and agriculture.
- Drive generative modeling research for protein understanding and design.
- Collaborate across AI and wet-lab teams to validate designs experimentally.
What they offer
- High-growth opportunity with meaningful impact on protein design
- Competitive compensation package with equity participation
- 401(k) with a strong employer match
- Comprehensive health, dental and vision insurance
- Generous PTO policy and commitment to work-life balance
- Professional development in AI and biology
Ideal candidate
Self-directed, creative researcher with a PhD mindset who loves prototyping generative models at the biology-AI frontier and collaborating across disciplines to shape breakthrough protein design.
Requirements
- PhD or equivalent industry experience in Computer Science, Machine Learning, NLP, Applied Math, Computational Biology, Statistics or related field
- Experience conceiving, implementing and evaluating novel machine learning techniques at the intersection with biology
- Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals
- Experience with modern deep learning frameworks such as Pytorch or Jax
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