Platform engineers make Chai’s models fast, cheap, and reliable at scale, and enable the outer loop that accelerates research: the infrastructure and software abstractions used to train, eval, and understand models.
You’ll own the serving stack that turns our frontier models into a product scientists depend on: latency, throughput, GPU efficiency, batching, and autoscaling across a large multi-cloud GPU fleet. You’ll also contribute to the work that enables turning raw models into product-ready pipelines, and the experiment and observability tooling that lets a researcher ship faster.
You’ve built high-performance services that developers love, moved ML systems into production at scale, and can see around corners before they become outages.
You’ll work closely with the researchers who train the models, the product engineers who build on them, and the commercial team deploying them to the world’s largest pharma companies.