Machine Learning Researcher


San Francisco
Permanent
Negotiable
Research And Development
PR/553910_1753132939
Machine Learning Researcher

Title: Machine Learning Researcher

Salary: $225,000-$275,000

Location: San Francisco, CA

Join a small, mission-driven team pioneering AI tools to predict drug toxicity and reduce reliance on animal testing. EPM Scientifc is supporting a biotech developing technology to help pharma teams identify safety risks earlier and accelerate the path to new medicines.

What You'll Do:

  • Design and build the full ML pipeline-from data generation and preprocessing to model training, deployment, and infrastructure.
  • Lead development of novel models that connect chemical structure with biological outcomes.
  • Architect and scale large multi-modal models trained on chemical and biological image data.
  • Explore underdeveloped areas like molecular graph learning, contrastive methods, and generative models for biology.
  • Help shape a research culture focused on long-term impact and scientific excellence.
  • Contribute to both product and research, shipping high-impact tools that scientists love.

What We're Looking For:

  • Experience in deep learning, especially with multi-modal or self-supervised learning.
  • Strong engineering skills: PyTorch, Python, data pipelines, and cloud infrastructure.
  • Background in applying ML to complex, noisy scientific data-ideally in chemistry or biology.
  • A track record of impactful ML work, either in industry or academia.
  • Curiosity, initiative, and a desire to build from the ground up.

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