Machine Learning Scientist, Pretraining
Profluent · Emeryville, California, United States; Hybrid (2-3 days on-site) · Emeryville, CA
CHECKED 7H AGO
Bio & Science AIhybrid$212k–$339k
At a glance
Highlights
- Drive pretraining of large-scale generative models for biomolecular design.
- Shape ML direction as early employee in frontier AI-for-biology lab.
- Build foundation models unlocking solutions across medicine and agriculture.
What they offer
- Competitive compensation package with equity participation
- 401(k) with strong employer match
- Comprehensive health, dental and vision insurance
- Generous PTO policy and commitment to work-life balance
- Professional development opportunities in AI and biology
Ideal candidate
Self-directed, creative researcher with PhD-level depth who thrives rapidly prototyping generative models and shaping frontier AI for biology within a fast-paced interdisciplinary team.
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 ML models and pretraining large-scale LLMs or other models in biomolecular domain
- Publications at major ML conferences or scientific journals or experience pre-training LLMs at frontier AI/ML labs
- 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