Research Engineer

Reposted 22 Hours 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 an applied research lab working on AI to unlock biology. Our models design new molecules for new medicines. Scientists across industry are adopting our software platform to develop drugs with engineering precision. Our vision is to build a design suite for biology, with applications across life sciences, agriculture, materials science and beyond.

Our founders have been at the forefront of this field since its inception. We raised $230m from Thrive, General Catalyst, OpenAI, Dimension and other tier-one investors. We partner with global life sciences companies like Eli Lilly on deals that are transforming the industry landscape.

We are known for talent density, rigorous research and pace of execution.

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 frontier of AI, with world-class people, on a mission that matters. We protect & promote a culture of high velocity and ownership. We offer highly competitive compensation.

Top Skills

Cuda
High-Performance Computing
Kubernetes
Python
PyTorch
Slurm
Triton
Unix
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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