ML Research Intern, BS/MS - 2026
ML Research Intern, BS/MS - 2026
Posted on :
07-08-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
07-08-2025
Job Description
About the Team
Join a world-class team at the forefront of AI and biochemistry.
At Genesis Therapeutics were 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 dont 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. Were 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 Bachelors or Masters 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. Youll 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 industrys 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 addition Genesis has signed AI-focused platform collaborations with major pharmaceutical companies including most recentlyIncyte Corporation(Feb 2025) andGilead 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 (NVIDIAs 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.
Required Experience:
Intern
Employment Type
Intern
Key Skills
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