Research Engineer

Reposted 4 Days Ago
San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Biotech
The Role
The AI Engineer will develop and optimize AI models and high-performance software systems for drug discovery, collaborating with researchers and maintaining infrastructure.
Summary Generated by Built In
About Chai Discovery

Chai is a research lab working on generative models for molecular design. We are building AI infrastructure to engineer new medicines with speed and precision. The world’s largest pharmaceutical companies—including Eli Lilly, Pfizer, and Novartis—have started adopting our platform across their organizations.

Our mission is to unlock progress towards better cures and better science, and we see countless interesting problems on the road ahead. We are known for talent density, rigorous research and pace of execution.

Our founders have been at the forefront of this field from the beginning. We are backed by Sequoia, Index, Thrive, General Catalyst, Dimension, OpenAI and others.

About the role

We are seeking an AI Research Engineer to help design, train, evaluate, and optimize Chai’s core models and infrastructure, working in tight loops with research scientists. 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 craft-obsessed team of micro-pessimists and macro-optimists.

  • Develop and optimize all the infrastructure & tooling upon which our AI research depends.

  • Collaborate with AI researchers to understand, implement and optimize new research directions.

  • Integrate AI models into production systems, ensuring scalability and reliability.

About you

Ideal backgrounds include high-performance computing, custom CUDA kernels and GPU programming, AI/ML + data systems at scale.

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

  • Strong proficiency in programming languages such as Python and deep learning frameworks like PyTorch.

  • Deep understanding of operating system internals.

  • Experience with HPC infrastructure such as Slurm and Kubernetes.

  • Experience with performance engineering and profiling for CPU and CPU workloads.

  • Experience writing, building, and maintaining large-scale ETL pipelines.

We offer

The opportunity to work at the leading edge of AI research, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • Strong proficiency in Python
  • Deep understanding of Unix operating system internals
  • Experience with high-performance computing (HPC) infrastructure such as Slurm and Kubernetes
  • Experience with performance engineering including CPU and GPU workload optimization
  • Experience writing and maintaining large-scale ETL pipelines
  • Experience using deep learning libraries such as PyTorch
Am I A Good Fit?
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The Company
HQ: San Francisco, California
9 Employees

What We Do

Building frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules.

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