Machine Learning Scientist

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San Francisco / $225000 - $275000 annum

INFO

Salary

SALARY:

$225000 - $275000

Location

LOCATION

San Francisco

Job Type
JOB TYPE

Permanent

MACHINE LEARNING SCIENTIST - FOUNDATION MODELS (AI + BIOLOGY)

United States - REMOTE

$225,000 - $275,000 Base + Equity

The Opportunity

Join a world-class AI research team focused on building foundation models from scratch for biology and scientific discovery.

This is a highly technical, research-driven role for scientists who are excited by first-principles model development, large-scale representation learning, and advancing the frontier of AI in complex scientific domains. You'll work on proprietary, multimodal biological datasets and help develop the next generation of foundation models designed to uncover insights that traditional approaches cannot.

What You'll Do

  • Design, train, and evaluate novel foundation models on large-scale biological and multimodal datasets.
  • Develop new approaches in representation learning, self-supervised learning, generative modeling, and model architectures.
  • Conduct research across training objectives, data curation, scaling strategies, and model evaluation.
  • Build and run experiments to rapidly test hypotheses and iterate on new ideas.
  • Own research projects end-to-end while collaborating with ML researchers, computational biologists, and domain experts.

What We're Looking For

  • PhD or equivalent research experience in ML, AI, Computer Science, Computational Biology, Physics, Mathematics, Statistics, or a related quantitative field.
  • Strong track record of original research through top-tier publications (e.g., NeurIPS, ICML, ICLR, CVPR, Nature Machine Intelligence) and/or impactful industry research.
  • Experience developing models from first principles, including architecture design, training methodology, and evaluation.
  • Deep expertise in foundation models, representation learning, multimodal learning, generative modeling, self-supervised learning, or large-scale deep learning.
  • Strong Python/PyTorch skills with the ability to independently drive research and communicate findings effectively.

Why This Role

  • Build foundation models from scratch, not just applications on top of existing models.
  • Work on frontier AI research with direct impact on biology, healthcare, and scientific discovery.
  • Train models on large, proprietary datasets purpose-built for next-generation AI systems.
  • Join a research-first team with significant autonomy, ownership, and influence on technical direction.
  • Competitive compensation, meaningful equity, and flexible hybrid/remote work options.

If you're excited about designing new model architectures, pushing the boundaries of foundation model research, and applying AI to some of the most important scientific challenges of our time, we'd love to talk.

CONTACT

Chris Williams
He/Him/His

Senior Sourcing Consultant

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