Model Serving Engineer

📋 Description Optimize Python inference under real concurrency constraints. Collaborate with research/infrastructure on hardware tradeoffs. Define architecture for distributed inference and async execution. Own the Triton serving layer for NEXUS in production. Build observability tooling for latency, throughput, resource efficiency. Resolve cross-environment serving challenges across scale, isolation, reliability. 🎯 Requirements Bachelor's or Master's in CS/Engineering (or equivalent) 5+ years in model serving, ML infra, or backend engineering Deep expertise in Python concurrency (GIL, threading, multiprocessing) Experience building asynchronous and message-driven systems High-performance, large-scale distributed systems Ability to read and reason about ML model compute, batching, memory, inference 🎁 Benefits Competitive compensation with salary and equity Comprehensive health coverage for you and dependents Paid parental leave for all new parents Relocation support for employees joining the team Mission-driven, low-ego culture supporting diversity and action