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Rockstar · 3 weeks ago

Backend Software Engineer (ML Infra)

San Francisco, California, United States

Full-time

Onsite

Entry, Mid Level

1+ years exp

Rockstar is a mobile-first digital product studio that creates extraordinary digital experiences. They are hiring a Backend Software Engineer (ML Infrastructure) to design, build, and scale core systems for large-scale model training and deployment, collaborating closely with ML engineers to enhance production-grade infrastructure.

Staffing & Recruiting

Responsibilities

Design and implement backend systems that support large-scale ML workloads, including fine-tuning and reinforcement learning

Build distributed training and inference pipelines that are efficient, fault-tolerant, and observable

Develop internal developer tools and platforms that make it easier for ML engineers to train, evaluate, and deploy models

Work on cloud-native systems using containers and orchestration (e.g., Kubernetes)

Optimize systems for performance, reliability, and cost efficiency, especially for GPU-heavy workloads

Implement monitoring, logging, and observability for long-running training jobs and production services

Partner closely with ML engineers to support evolving model architectures, training workflows, and evaluation needs

Translate ML requirements into scalable backend and infrastructure solutions

Qualification

Backend engineeringDistributed systemsPythonCloud-native systemsContainerizationKubernetesML infrastructureGPU workloadsMonitoringLoggingTechnical curiosityCollaboration