Qualifications:
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 6-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, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
Familiarity with software engineering best practices (version control, documentation, etc).
Nice to Have:
3 year PhD student and above.
Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
Hands-on experience working at the intersection of AI and Biology, particularly protein structure prediction, protein sequence/structure modeling, or molecular design.
Experience with biological structure prediction algorithms or models such as AlphaFold2/3 or RoseTTAFold.
Experience in generative modeling for biological structures and sequences, including diffusion models, flow matching, or related approaches.
Experience in large-scale distributed training and inference.
Open-source contributions, especially if used by others.
Skills Required
- Current M.S. or Ph.D. student, or equivalent expertise, in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
- Availability for a six-month, in-person internship in Palo Alto, California
- Authorization to work in the United States for the duration of the internship
- Experience developing, implementing, and debugging deep learning models
- Proficiency with JAX, TensorFlow, or PyTorch
- Strong foundation in statistics, optimization, graph theory, or linear algebra
- Interest in interdisciplinary AI and biology research
- Ability to work independently with partially defined objectives
- Familiarity with software engineering best practices, including version control and documentation
- At least three years of Ph.D. study
- Research contributions to top-tier AI/ML or core biology journals and conferences
- Prior industry research or internship experience
- Experience at the intersection of AI and biology, including protein structure prediction, protein modeling, or molecular design
- Experience with AlphaFold2, AlphaFold3, RoseTTAFold, or similar biological structure prediction models
- Experience with diffusion models, flow matching, or related generative modeling approaches
- Experience with large-scale distributed training and inference
- Open-source contributions used by others
What We Do
GenBio.AI, Inc. (GenBio AI) is an innovative global startup dedicated to developing the world's first AI-driven Digital Organism, an integrated system of multiscale foundation models for predicting, simulating, and programming biology at all levels. Our goal is to achieve comprehensive, actionable empirical understandings of the mechanisms underlying all organismal physiologies and diseases. This will pave the way for a new paradigm in drug design, bio-engineering, personalized medicine, and fundamental biomedical research, all powered by Generative Biology. Our founding team consists of world-renowned scientists and researchers in AI and Biology from prestigious institutions such as CMU, MBZUAI, WIS, alongside prominent financial investors. GenBio AI, a true global effort from day one, is establishing offices in Palo Alto, Paris, and Abu Dhabi.
