# Machine Learning Scientist, Biomolecular Structure Prediction at Profluent

- Company: Profluent
- What the company does: The next frontier is authoring new biology, and with AI, we have the power to write the future—creating solutions that transform medicine, agriculture, and beyond. Backed by Insight and Air Street.
- Company website: https://www.profluent.bio/
- Type: Startups (AI role)
- Level: Mid level
- Location: Emeryville, California, United States
- Work setup: On-site
- Posted: 2026-11-04
- Apply by: 2026-12-19
- Apply: https://job-boards.greenhouse.io/profluent/jobs/5473868008?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/profluent-machine-learning-scientist-biomolecular-structure-prediction/

## About the role

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into biomolecular structure prediction. You will build and improve all-atom co-folding models, with a focus on the complexes that matter most to our programs: antibody–antigen interfaces and protein–nucleic acid assemblies. These remain among the hardest cases for current models, and closing that gap directly accelerates our antibody design and genome editing work. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- PhD (or equivalent industry experience) in computer science, computational biology, biophysics, or a related field
- Hands-on experience building and training biomolecular structure prediction models (e.g., AlphaFold- or Protenix-style co-folding models) at a leading academic or industry lab
- Publications at major ML conferences (NeurIPS, ICML, ICLR) or top science journals, or widely used open-source models
- Experience with deep learning frameworks such as PyTorch or JAX, including multi-GPU training

Tags: Machine Learning

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/profluent-machine-learning-scientist-biomolecular-structure-prediction/