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Profluent

Machine Learning Scientist, Pretraining

Profluent · Emeryville, California, United States; Hybrid (2-3 days on-site)

Posted about 2 months ago

or apply directly on Profluent's site. We never take the application ourselves.

Is this posting real?

This role has been open
62 days
Profluent's roles stay open a median of 63 days
Reposted
No
Salary listed
No
0% of Profluent's roles list one
Ghost-job risk at Profluent
high
12 stale, 0 reposted of 12 open
Hiring momentum
17 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-05

Measured from postings appearing on and disappearing from Profluent's own greenhouse board since 2026-08-03. Full hiring picture for Profluent.

About this role

As a Machine Learning Scientist at Profluent, you will focus on researching and developing large-scale deep learning models specifically for biomolecular design. Your role involves collaborating with interdisciplinary teams to enhance pretraining techniques, optimizing infrastructure for protein language models, and evaluating generative models through rigorous tasks. This position is pivotal in shaping the company's machine learning direction and contributing to advancements in protein design.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Profluent as an employer.

What you need

  • 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 pretraining large scale LLMs or other models in biomolecular domain
  • Publications at major machine learning conferences or scientific journals
  • Experience with modern deep learning frameworks such as Pytorch or Jax

Nice to have

  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins
  • Experience with cloud compute platforms
  • Previous experience in data extraction and curation from bioinformatics data sources
  • Familiarity with wet lab experimental assays and associated limitations

What you get

  • High-growth opportunity with meaningful impact on the future of protein design
  • Competitive compensation package with equity participation
  • 401(k) with a strong employer match
  • Comprehensive benefits including health/dental/vision insurance
  • Generous PTO policy and commitment to work-life balance
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology

Worth weighing

  • No specific mention of remote work flexibility beyond hybrid model
  • Salary range provided is quite broad, indicating potential variability in offers
  • Role involves significant collaboration across diverse scientific teams, which may require adaptability

Summarised from Profluent's posting. Read the full original.

Listed by Profluent on their greenhouse job board, last confirmed open on 2026-10-05. PitchMeAI is not the employer.

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