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Profluent

Machine Learning Scientist, BioML

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
63 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 engage in cutting-edge research at the intersection of protein biology and AI, developing predictive and generative models using large-scale biological data. Your role involves collaborating with interdisciplinary teams, designing datasets for model evaluation, and presenting findings in regular meetings. This position offers a unique opportunity to shape the company's machine learning initiatives and contribute to advancements in protein design.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
4/5
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 techniques at the intersection with biology
  • 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

Nice to have

  • Familiarity with foundational biology of proteins and nucleic acids
  • Experience developing machine learning models for proteins (language models, structure prediction, design)
  • Experience with cloud compute platforms (GCP, AWS, Azure, OCI)
  • 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 salary listed in the posting, but a hiring salary range is provided
  • The role requires a high level of collaboration across diverse teams, which may suit those who thrive in interdisciplinary environments
  • The position is hybrid, requiring 2-3 days on-site, which may not appeal to all candidates

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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