GenBio AI
Research Scientist Intern, AI Molecular Design (Winter/Spring)
Palo Alto, CA · On-site · Internship · Posted Oct 8, 2026
- Experience
- No years of experience specified; internship is 3 months. Expected to start January 2027.
- Education
- M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Visa sponsorship
- Must be authorized to work in the U.S. for the duration of the internship.
About the job
Develop deep learning methods for AI-driven molecular design and research at the intersection of artificial intelligence and biology.
What they ask for
- M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Available for a 3-month, in-person internship in Palo Alto, CA, and authorized to work in the U.S. for the duration of the internship.
- Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks.
- Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
Nice to have
- Research and innovation contributions to top-tier AI/ML or core biology journals and conferences; industry internship experience.
- Experience in AI and Biology, biological structure prediction, generative modeling, large-scale distributed training and inference, or open-source contributions.
Pay
USD 8,000–10,000 (per-month-salary) — base salary
Tools
JAX, TensorFlow, PyTorch, AlphaFold2/3, RoseTTAFold
AI focus
Deep learning for AI-driven molecular design, including potential work on generative models, graph neural networks, and biological structure and sequence modeling.
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