ML Research Intern, PhD - 2026
Burlingame, CA
Genesis Therapeutics
At Genesis we’re unlocking tough protein targets to discover new medicines at scale, with the industry’s most advanced molecular AI platform.
About the Team
Join a world-class team at the forefront of AI and biochemistry.
At Genesis Therapeutics, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases.
We don’t just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations.
About the Role
This is an opportunity to operate as a full member of our research team and to drive forward our ML research agenda for generative modeling of molecular systems. You will be paired with a mentor to work on a high-impact research project at the frontier of generative AI. Your work will likely involve making advancements to novel foundation models, with potential projects in areas like diffusion models, large language models (LLMs), reinforcement learning (RL), and multi-modal learning. We’re looking for exceptional PhD candidates passionate about conducting novel research that contributes directly to our mission of discovering new medicines.
Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024).
We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
Join a world-class team at the forefront of AI and biochemistry.
At Genesis Therapeutics, we’re a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases.
We don’t just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations.
About the Role
This is an opportunity to operate as a full member of our research team and to drive forward our ML research agenda for generative modeling of molecular systems. You will be paired with a mentor to work on a high-impact research project at the frontier of generative AI. Your work will likely involve making advancements to novel foundation models, with potential projects in areas like diffusion models, large language models (LLMs), reinforcement learning (RL), and multi-modal learning. We’re looking for exceptional PhD candidates passionate about conducting novel research that contributes directly to our mission of discovering new medicines.
You Will
- 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. Strong internship projects may lead to publications in top-tier venues.
You Are
- 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.
What we offer
- A high-impact research project, not a toy problem. Your work is chosen to have a direct line of sight to advancing our core scientific platform.
- Dedicated mentorship from a senior researcher on our team who will partner with you, guide your project, and champion your growth.
- Deep immersion in a world-class team. You'll join our paper discussions, research talks, and social events, becoming a true member of the Genesis AI team. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas.
Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has signed AI-focused platform collaborations with major pharmaceutical companies, including most recently Incyte Corporation (Feb 2025) and Gilead Sciences (Sept 2024).
We raised a $200M series B in August 2023, and have raised over $300M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
Job stats:
2
0
0
Categories:
Machine Learning Jobs
Research Jobs
Tags: Biochemistry Biology Chemistry Computer Science Deep Learning Diffusion models Drug discovery Generative AI Generative modeling LLMs Machine Learning Pharma PhD Physics Reinforcement Learning Research Testing
Perks/benefits: Career development Startup environment Team events
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Sr. Data Engineer jobsBusiness Intelligence Developer jobsPrincipal Data Engineer jobsBI Developer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsJunior Data Analyst jobsData Science Intern jobsDevOps Engineer jobsData Science Manager jobsSoftware Engineer II jobsData Manager jobsLead Data Analyst jobsData Analyst Intern jobsStaff Software Engineer jobsAccount Executive jobsBusiness Data Analyst jobsAI/ML Engineer jobsSr. Data Scientist jobsData Specialist jobsData Governance Analyst jobsSenior Backend Engineer jobsData Engineer III jobsBusiness Intelligence Analyst jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsLinux jobsKPIs jobsKafka jobsTerraform jobsGitHub jobsJavaScript jobsRDBMS jobsPostgreSQL jobsData Warehousing jobsClassification jobsNoSQL jobsStreaming jobsScikit-learn jobsBanking jobsComputer Vision jobsPrompt engineering jobsRAG jobsPhysics jobsGoogle Cloud jobsOracle jobs
Pandas jobsdbt jobsHadoop jobsScala jobsBigQuery jobsGPT jobsR&D jobsData warehouse jobsReact jobsLangChain jobsScrum jobsDistributed Systems jobsPySpark jobsLooker jobsMicroservices jobsIndustrial jobsELT jobsCX jobsSAS jobsJira jobsOpenAI jobsRedshift jobsModel training jobsRobotics jobsTypeScript jobs