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.