Senior Machine Learning Scientist

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.