About this role
Located in the San Francisco office, the Research Engineer - Auto Research position involves building agent-powered frameworks to automate the research loop for biological foundation models. This full-time role suits software and machine learning engineers with a strong technical background in system design and deep learning frameworks who want to advance AI-driven drug discovery.
Role Overview
The Research Engineer - Auto Research position focuses on developing agent-powered systems that enhance model training, speed up inference, and support the broader research organization. The role centers on automating the research process itself, including creating the tools and datasets necessary for agents to execute experiments, assess outcomes, and determine subsequent actions as the company expands beyond protein structure prediction into therapeutic engineering.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Chai Discovery builds a design suite for molecules by training frontier models that learn biochemical structures and interactions. Major pharmaceutical organizations such as Eli Lilly, Pfizer, and Novartis utilize the platform to support their drug discovery initiatives.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the position located?
The role is based in the San Francisco office.
What programming languages and frameworks are required?
Candidates must be proficient in Python and fluent in either PyTorch or JAX.
What is the primary focus of the Research Engineer role?
The focus is on building agent-powered systems and frameworks to automate the research loop, improve model training, accelerate inference, and support therapeutic engineering.
What kind of company is Chai Discovery?
Chai Discovery builds a molecule design suite and trains frontier models for biochemical structures, partnering with pharmaceutical companies like Eli Lilly, Pfizer, and Novartis.