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← Profluent

Machine Learning Scientist, BioML

Profluent
Location
Emeryville, California, United States; Hybrid (2-3 days on-site)
Posted
2 months ago
Department
Machine Learning
What they actually want (must-haves)
  • 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 the job really is

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.

Benefits
  • 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
Things to weigh
  • 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
Job score2.6/5
Benefits3/5
Freshness1/5
Career value5/5
Role clarity4/5
Pay transparency0/5

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