# Machine Learning Scientist, BioML 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; Hybrid (2-3 days on-site)
- Work setup: Hybrid
- Posted: 2026-06-05
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/profluent/jobs/5248524008
- Page: https://www.1752.vc/careers/jobs/profluent-machine-learning-scientist-bioml/

## About the role

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to work at the forefront of generative modeling research across language processing, representation learning, and protein engineering. You should be a self-directed researcher who has the ability to rapidly prototype and evaluate new models and algorithms in the biomolecular domain.

## What they're looking for

- Design and develop state-of-the-art predictive and generative models incorporating domain-specific evolutionary and experimental data
- Leverage massive-scale protein and nucleic acid data to train specialized models for protein understanding and design
- Curate relevant datasets and design tasks for rigorous evaluation of generative models
- Collaborate across the machine learning and protein design teams to adapt and apply techniques for experimental validation
- Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings
- Work within a collaborative, fast-paced, interdisciplinary team across biology and machine learning to help shape the scientific and strategic vision of the company

Tags: Machine Learning