ML Research Intern – PhD

Genesis Molecular AI

. Lead a novel research project from ideation to conclusion focused on generative or predictive AI for molecular systems .

Posted 9/24/2026internshipUnited StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and deep learning, with a focus on generative AI and predictive modeling for molecular systems. Capable of conducting fundamental research at the intersection of AI, physics, and computational chemistry, while effectively collaborating with multidisciplinary teams.

Highest-signal resume keywords

PhD In Computer ScienceMachine LearningDeep LearningGenerative AIDrug Discovery

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Generative AIPredictive AIDiffusion ModelsReinforcement LearningLarge Language ModelsExperimental DesignData ValidationComputational ChemistryScientific Problem Solving

Soft Skills

CollaborationCommunicationPassion For Research

Industry Keywords

Molecular SystemsFoundation ModelsDrug DiscoveryAI And Biochemistry

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Currently enrolled in a PhD program in Computer Science, Machine Learning, or related fields
Strong background in machine learning, deep learning, and/or related areas
Passion for conducting novel research contributing to drug discovery
Ability to tackle open-ended scientific problems from first principles
Interest in the intersection of AI and biochemistry and willingness to learn about drug discovery
Legally authorized to work in the United States
Available for a Summer 2027 internship

Benefits

Comp & perks

High-impact research project with a direct line of sight to advancing the core scientific platform
Dedicated mentorship from a senior researcher
Participation in paper discussions, research talks, and social events
Access to ample compute and large-scale simulations
Potential for strong internship projects to lead to publications in top-tier venues