Build ML infrastructure for LLM post-training at scale on a distributed systems platform.
Join the ML Platform team to design and operate GPU compute infrastructure for large language model training and inference. You'll work across the full stack—from public APIs and SDKs through control planes to GPU data planes—scaling multi-tenant scheduling, fault tolerance, and throughput while partnering with researchers to productionize cutting-edge techniques. This role suits engineers with strong distributed systems expertise, familiarity with GPU and LLM tooling, and a track record shipping reliable, high-performance systems in production.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 18 September 2026 · InsideJobs links you to the original posting.