Machine Learning Scientist, BioML
- Pay
- $212,000 – $339,000 per year
- Location
- Emeryville, CA · Hybrid
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Education
- Doctorate
- Listed
- 30 days ago
Skills & highlights for this role
- deep learning
- PyTorch
- protein language models
- generative modeling
Also useful
- JAX
- structure prediction
- cloud compute (GCP, AWS, Azure)
- wet lab assays
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Generous pto
Responsibilities
- 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
Qualifications
- 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
Preferences
- 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
- 3 to 5 years of industry experience
What We Offer
- 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
Employment Eligibility Verification
- Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
- Hiring Salary Range $212,000—$339,000 USD
Notice to Staffing and Search Firms
Profluent does not accept unsolicited candidate submissions. We ask that agencies refrain from sending resumes to our careers inbox, hiring managers, or any Profluent employee. Any resume submitted without a signed agreement and an active search request from our Talent team will be treated as the property of Profluent, and no placement fee will be owed.
About Profluent
Profluent is the frontier AI lab for biology. Profluent builds powerful foundation models for all of life's molecules, unlocking solutions that transform medicine, agriculture, and beyond. Founded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date.
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.
As an early employee, you will proactively shape the direction of our machine learning efforts and collaborate across diverse teams of computational and experimental scientists.
Equal opportunity and legal notices
Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
From Profluent's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Machine Learning Scientist, BioML role at Profluent?
The Machine Learning Scientist, BioML posting at Profluent states compensation of $212,000 – $339,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Profluent's official career site.
Where is the Machine Learning Scientist, BioML job at Profluent located?
This Machine Learning Scientist, BioML position at Profluent is located in Emeryville, CA (Hybrid). Always check Profluent's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Scientist, BioML at Profluent?
For the Machine Learning Scientist, BioML role, Profluent highlights 3+ years of relevant experience; a doctorate; experience with deep learning, PyTorch, protein language models, generative modeling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Scientist, BioML position at Profluent?
This listing links directly to Profluent's Greenhouse application page. You can apply directly on Profluent's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.