Software Engineer, Platform & Inference
Chaidiscovery · San Francisco office
About this role
**ABOUT CHAI DISCOVERY** Chai builds the design suite for molecules—training frontier models that learn the foundations of biochemical structure and interaction, so scientists can move faster and pursue targets other methods can’t reach. Leading pharmaceutical companies like Eli Lilly, Pfizer, and Novartis use Chai’s platform to power drug discovery programs. **ABOUT THE ROLE** As a **Platform Engineer (Platform & Inference)**, you’ll make Chai’s models **fast, cheap, and reliable at scale**, and help build the “outer loop” that accelerates research—covering the infrastructure and software abstractions used to **train, evaluate, and understand models**. You will **own the serving stack** that turns frontier models into a product scientists depend on, including: - Latency and throughput - GPU efficiency - Batching - Autoscaling across a large multi-cloud GPU fleet You’ll also contribute to: - Turning raw models into **product-ready pipelines** - Experiment and observability tooling that helps researchers ship faster You’ve built high-performance services, moved ML systems into production at scale, and can anticipate issues before they become outages. You’ll work closely with researchers, product engineers, and the commercial team. **ABOUT YOU** We value systems judgment, ownership, and the “scars” from running production infrastructure. We’re looking for engineers who have: - **4+ years** building production systems (depth in performance, distributed systems, or ML serving) - Experience optimizing **model inference** (GPU utilization, batching, quantization, caching, or kernel-level work) - A **platform mindset**—building tools and abstractions that help others move faster - **End-to-end ownership** of 24/7 systems, including observability, alerting, and incident response - Experience across **0-to-1** buildouts and **1-to-n** scale-ups - The instinct to treat **cost and efficiency** as first-class constraints A background in biology is **not required**—technical excellence, curiosity about the domain, and grit matter most. **WE OFFER** - Work at the vanguard of AI research and frontier biology - A high-velocity, ownership-driven culture - Compensation aligned with the impact you’ll make
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