Senior Machine Learning Scientist
Salary:
$200,000 - 300,000 - Per Annum
Locations:
San Francisco, CA, San Francisco, CA, United States
Type:
Permanent
Published:
August 26, 2025
Contact:
George Ethell
Ref:
17986
Required Skills:
Machine Learning,Python
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Job Title: Senior Machine Learning Scientist 
Salary: $200k - $300k + Equity
Location: San Francisco, CA (On-site)

Responsibilities:
  • Define and build end-to-end ML/AI systems, including data creation, data cleaning/processing, model development, training, inference, and deployment.
  • Lead R&D efforts on novel models for understanding the intersection of chemistry and biology.
  • Architect and scale large models trained on paired chemistry and biological imaging data.
  • Establish the foundation of a strong research culture focused on advancing applied ML in science.
  • Explore and drive innovation in molecular graph representations, contrastive learning for chem/bio, semi-supervised learning on biological images, and generative models (e.g., diffusion) for biological data.
  • Collaborate with scientists and engineers to translate cutting-edge ML techniques into impactful products and tools.
  • Contribute to both research leadership and product development, taking projects from concept to real-world application.
Requirements:
  • Strong background in machine learning, particularly multi-modal, self-supervised, or unsupervised learning with imaging data.
  • Experience in applied computer vision research and model development.
  • Deep learning expertise applied to challenging or non-standard modeling problems.
  • Familiarity with molecular property prediction, generative modeling, or ML for chemistry and biology.
  • Experience with cell imaging data or other biological imaging modalities is highly valued.
  • Track record of impactful research and/or production ML systems.
  • Ability to thrive in a fast-moving, entrepreneurial environment and contribute to projects from 0 to 1.
Benefits:
  • Fully Covered Medical, Dental, and Vision Insurance
  • Paid Time Off
  • Parental Leave
  • Free Lunches
  • Team Building Events
  • Collaborative Team environment
If you are interested in learning more about this position or any other roles we may have open, please apply today!

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or circumstances, with an equitable chance to achieve the careers
they deserve. Building a diverse future, one placement at a time.

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