ML Research Intern, PhD

• Lead a novel research project from ideation to conclusion, focused on a critical challenge in generative or predictive AI for molecular systems.
• Push the research frontier by engaging with the latest literature on foundation models, developing new methods in areas like diffusion or RL, and rigorously testing your hypotheses at scale.
• Design and run experiments at scale to validate most promising approaches and hypotheses.
• Present your work to the team and contribute your insights to our broader research agenda.

Your work will contribute directly to the mission of discovering new medicines by advancing generative AI foundation models for molecular systems, potentially unlocking groundbreaking therapies for patients with severe diseases.

• Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields.
• A creative researcher with a strong background in machine learning, deep learning, and/or related areas.
• A first-principles thinker who is passionate about tackling open-ended scientific problems.
• Curious about the intersection of AI and biochemistry and excited to learn about the drug discovery process.

• A high-impact research project with direct line of sight to advancing the core scientific platform.
• Dedicated mentorship from a senior researcher who will partner with you, guide your project, and champion your growth.
• Deep immersion in a world-class team including paper discussions, research talks, and social events.

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development through their generative and predictive AI platform GEMS, which integrates AI and physics to generate and optimize drug molecules.