Job Description
📋 Description Own optimization projects across ML training, inference, serving, and launch-readiness. Diagnose production bottlenecks using profiling, benchmarking, monitoring, and observability. Develop optimization frameworks, tooling, efficiency playbooks, and reusable capabilities. Improve model launch readiness with load testing, reliability, latency, and cost visibility. Partner with ML, platform, and infra teams to implement scalable solutions. Influence technical direction by identifying recurring challenges and automation opportunities. 🎯 Requirements Deep experience with production ML systems and large-scale ML workloads. Proven track record of improving ML training or inference efficiency. Strong understanding of optimization across model, runtime, and infrastructure systems. Experience owning complex projects from concept to implementation and impact. Ability to balance short-term performance improvements with long-term scalability. Strong communication skills to explain tradeoffs to engineering and partner teams. 🎁 Benefits Comprehensive healthcare benefits and income replacement programs. 401(k) program with employer match. Global benefits designed to support professional development, caregiving, and flexible work needs. Family planning support. Gender-affirming healthcare coverage. Mental health and coaching benefits.
