# Machine Learning Scientist, Reinforcement Learning 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: 2026-06-02
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/profluent/jobs/5238462008
- Page: https://www.1752.vc/careers/jobs/profluent-machine-learning-scientist-reinforcement-learning/

## About the role

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into reinforcement learning for biomolecular design. 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

- PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field
- Experience with conceiving of, implementing, and evaluating novel machine learning and reinforcement learning techniques
- Publications at major machine learning conferences (NeurIPS, ICML, ICLR) or scientific journals (Nature, Science, Nature Biotech, Nature Methods, PNAS)
- Experience with modern deep learning frameworks such as Pytorch or Jax

Tags: Machine Learning