Genesis Molecular AI

General

• Lead a novel research project from ideation to conclusion focused on generative or predictive AI for molecular systems
• Engage with current foundation-model literature and develop methods involving diffusion models, reinforcement learning, large language models, or related techniques
• Design and run experiments at scale to validate approaches and hypotheses
• Present research to the team and contribute insights to the broader research agenda
• Work with a mentor and multidisciplinary researchers on generative foundation models for molecular systems
• Conduct fundamental research at the intersection of machine learning, physics, and computational chemistry

ML Research Intern – PhD

• Build models, run experiments, and analyze results for a key scientific challenge in generative AI
• Implement and optimize multi-modal models and algorithms from the latest literature
• Design and run experiments at scale to validate approaches and hypotheses
• Present work and findings to the team
• Work with foundation models in areas such as diffusion models, large language models, or reinforcement learning
• Collaborate with multidisciplinary deep learning researchers, software engineers, and drug discovery pioneers

ML Research Intern – PhD

ML Research Intern – BS/MS