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Machine Learning Scientist, Pretraining

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 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 the job really is

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.

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 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
Job score2.8/5
Benefits3/5
Freshness1/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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