Genesis Therapeutics

ML Research Intern, BS/MS - 2026

Sorry, this job was removed at 10:16 p.m. (CST) on Monday, Aug 04, 2025

2 Locations

In-Office

Artificial Intelligence • Biotech

The Role

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 for the duration of your internship. You will be paired with a mentor and get hands-on experience building and testing models at the forefront of generative AI. Your high-impact project will likely involve working with our foundation models and could touch on cutting-edge areas like diffusion models, large language models (LLMs), or reinforcement learning. We’re looking for exceptional students passionate about applying their technical skills to challenging research problems and contributing directly to our mission.

You Will

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.

You Are

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.

What we offer

A high-impact 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 or engineer 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.

Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules.

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.

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The Company

HQ: Burlingame, CA

58 Employees

What We Do

Genesis Therapeutics is unifying AI and biotech to accelerate and optimize drug discovery. We pioneer novel deep learning and molecular simulation techniques to accelerate the development of new medicines. Genesis raised its $52M Series A from top tech + biotech investors, Andreessen Horowitz, Rock Springs, and T. Rowe Price. Story: https://techcrunch.com/2020/12/02/genesis-therapeutics-raises-52m-a-round-for-its-ai-focused-drug-discovery-mission/ We deploy our technology to accelerate a pipeline of several internal drug programs. Furthermore, Genesis has announced two significant, multi-target collaborations with Genentech and with Eli Lilly, the latter of which entailed a $20M upfront payment with a $670M total deal size. Now we are scaling the team and technology to support many more programs in parallel as well as increasingly difficult protein targets. We currently have a team (genesistherapeutics.ai/company.html#team) of about 35 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, MemSQL, Jane Street, Dropbox, etc. We're recruiting pure ML research scientists + software engineers (no bio or chem experience expected) to further our core AI platform as well as scale our drug pipeline. Likewise, we have several openings in chemistry and biology to join our team of biotech + pharma veterans who are deploying the Genesis ML platform to discover novel drug candidates. Please apply on our website, or feel free to reach out via email directly: [email protected]