# Machine Learning Scientist, Pretraining 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: 2026-08-03
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/profluent/jobs/5375801008
- Page: https://www.1752.vc/careers/jobs/profluent-machine-learning-scientist-pretraining/

## About the role

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models 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

- Design and develop state-of-the-art autoregressive, diffusion and representation learning models for protein design
- Collaborate across the machine learning and protein design teams to apply, adapt and improve pretraining techniques from other domains to biomolecular deep learning models
- Architect, implement, and optimize core infrastructure to support the pretraining of protein language models
- Curate relevant datasets and design tasks for rigorous evaluation of generative models
- 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