Research Engineer - Auto Research

Chaidiscovery

San Francisco office, US

On-site

Who this role is best for

A natural match if you have experience building agent-powered systems in AI/ML and working on drug discovery platforms.

Best fit for

Candidates with experience in agent-powered software and AI/ML model training frameworks
— “Build agent-powered systems and frameworks to improve model training”
Individuals who have demonstrated exceptional impact on real-world systems through technical depth
— “technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems”
Professionals with fluency in Python and deep learning libraries like PyTorch or JAX
— “proficiency in Python, and Pytorch or JAX fluency”

Things to consider

The role involves pushing AI's frontier in drug discovery, which may require high adaptability
— “chance to push the frontier of AI research and frontier biology”

How to stand out

Highlight experience in automating research loops and system design in your resume
— “Automate the research loop itself rather than just the models it produces”
Emphasize projects where you demonstrated impact on real-world systems
— “demonstrated exceptional impact on real-world problems and systems”

Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Build agent-powered systems for model training
Accelerate inference processes
Automate research loop

Typical background

Deep industry experience in AI/MLStrong system design skillsPython proficiency

Skills & requirements

Required

Ai/ml Model TrainingInference AccelerationAgent-powered SystemsPythonPytorch Or JAX

Preferred

Drug DiscoveryProtein Structure PredictionTherapeutic Engineering

Stack & domain

PythonPyTorchJAXAIMLAgent-powered SystemsModel TrainingInferenceToolingDatasetsProtein Structure PredictionTherapeutic EngineeringCollaborationProblem-solvingCommunicationAI Drug DesignBiochemical StructureInteractionDrug Discovery

About the role

Original posting from Chaidiscovery via Ashby

ABOUT CHAI DISCOVERY
Chai builds the design suite for molecules. We train frontier models that learn the underlying foundations of biochemical structure and interaction, so scientists can move faster and pursue targets that other methods cannot reach.
AI is reinventing life sciences the same way it reinvented software engineering, and Chai is at the forefront of this shift. Leading pharmaceutical companies like Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, and Novartis https://www.chaidiscovery.com/news/novartis-partnership are adopting our platform to power their drug discovery programs.
We value diverse perspectives and are ready to find greatness in unexpected places.
ABOUT THE ROLE
Build agent-powered systems and frameworks to improve model training, accelerate inference, and help our research organization move faster. Automate the research loop itself rather than just the models it produces, including the tooling and datasets that allow agents to run experiments, evaluate results and propose next steps.
Chai's models are moving beyond protein structure prediction into real-world therapeutic engineering. This is a chance to push the frontier of AI drug design, working alongside a rigorous and craft-obsessed team.
ABOUT YOU
Ideal backgrounds include deep industry experience working with top AI/ML teams on agent-powered software—with strong system design skills, proficiency in Python, and Pytorch or JAX fluency. We look for technical spikes where you have gone deep and demonstrated exceptional impact on real-world problems and systems.
WE OFFER
The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We compensate our team accordingly.

Source: Chaidiscovery careers (Ashby)