ML Research Intern, BS/MS

• Contribute to a high-impact research project by building models, running experiments, and analyzing results for a key scientific challenge in generative AI.
• Turn research ideas into high-quality code, implementing and optimizing multi-modal models and algorithms from the latest literature.
• Design and run experiments at scale to validate promising approaches and hypotheses.
• Present your work and findings to the team, contributing to our collaborative research environment.

Your work will contribute directly to advancing AI foundation models that unlock groundbreaking therapies for patients with severe diseases, helping to forge the next generation of AI-driven drug discovery.

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Machine Learning, or a related technical field.
• A skilled and agile coder with a passion for writing clean, efficient, and reliable code.
• A curious and tenacious problem-solver, excited to tackle complex technical challenges.
• Eager to learn about the intersection of AI and biochemistry and the drug discovery process.

• A high-impact project, not a toy problem, with direct line of sight to advancing the core scientific platform.
• Dedicated mentorship from a senior researcher or engineer who will partner with you, guide your project, and champion your growth.
• Deep immersion in a world-class team, including participation in 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, using its generative and predictive AI platform GEMS to generate and optimize drug molecules for high-impact therapeutic targets.