Staff Machine Learning Engineer
Warner Bros. (Warner Bros. Entertainment Inc.) (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and lead the architecture and roadmap of a multi-framework machine learning model serving runtime supporting global streaming services with low-latency requirements.
- Build, deploy, and optimize high-scale model inference infrastructure including autoscaling, capacity management, multi-region resilience, and cost optimization to serve 100+ million users with millisecond responses.
- Collaborate with scientists and engineering teams to integrate models, establish SLOs, maintain production readiness including incident handling and on-call responsibilities, and mentor engineering team members.
Minimum Requirements
- 9+ years industry experience, with 5+ years specifically in production ML infrastructure or comparable large-scale low-latency distributed systems.
- Strong Kubernetes experience running GPU and CPU workloads, programming expertise in Python plus a systems programming language such as C++, Go, or Rust.
- Experience with cloud platforms (AWS, GCP, or Azure), Docker, CI/CD tools like GitHub Actions or Jenkins.
- Operational maturity owning tier-1 services, including handling on-call support and incident reviews.
Ideal Candidate Profile
- Experienced in designing and leading large-scale, low-latency ML infrastructure projects involving multi-quarter technical initiatives across teams.
- Skilled in performance engineering focusing on profiling, tail latency, batching, concurrency under load, and hardware utilization for GPU/CPU environments.
- Comfortable collaborating asynchronously and across global teams, producing technical documentation and driving platform adoption by other engineering teams.