Profluent
Machine Learning Scientist, BioML
$212K–$339K
Emeryville, California, United States +3 · Full-time · Posted Jun 5, 2026
- Location
- Emeryville, California, United States
Hybrid (2-3 days on-site)
Emeryville, California, United States
Hybrid (2-3 days on-site) - Experience
- 3 to 5 years of industry experience (preferred); experience developing and evaluating novel machine learning techniques at the intersection with biology is required.
- Education
- PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
- Visa sponsorship
- Legal authorization to work in the United States is required.
About the job
Develops and evaluates predictive and generative machine learning models for protein understanding and design, using biological data and collaborating with computational and experimental scientists.
What you'll do
- Design and develop predictive and generative models using evolutionary and experimental data; train specialized models on protein and nucleic acid data.
- Curate datasets and design rigorous evaluations of generative models; interpret and present computational results.
- Collaborate with machine learning and protein design teams to adapt methods for experimental validation and help shape scientific direction.
What they ask for
- PhD (or equivalent industry experience) in a listed or related field.
- Experience conceiving, implementing, and evaluating novel machine learning techniques at the intersection with biology.
- Publications at a listed major machine learning conference or scientific journal.
- Experience with modern deep learning frameworks such as Pytorch or Jax.
Nice to have
- Familiarity with foundational protein and nucleic acid biology, protein machine learning models, cloud compute platforms, bioinformatics data curation, or wet lab assays.
- 3 to 5 years of industry experience.
Pay
$212,000 — $339,000 USD (base salary)
Tools
Pytorch, Jax, GCP, AWS, Azure, OCI
AI focus
Research and develop generative and predictive AI models for protein understanding and design, including evaluation and experimental validation.
Model-written summary · the original posting is authoritative