Senior Software Engineer, Machine Learning (ML Ops)

📋 Description

• Lead scalable cloud infra for ML workloads on AWS and GCP with GPUs/TPU.
• Architect CI/CD for ML models and platform services for fast, safe releases.
• Own low-latency infra for real-time inference incl. KV store/vector stores.
• Define observability standards: model performance, drift, capacity, health metrics.
• Participate in on-call rotation and incident RCA for ML infra.
• Collaborate with data scientists to improve platform usability and ML workflows.

🎯 Requirements

• BS or MS in CS/Engineering or related quantitative field.
• 8+ years in DevOps/SRE/ML infra; 4+ years on large-scale ML.
• Strong Python and/or Scala/Java for tooling.
• Kubernetes on GCP (GKE) and AWS (EKS).
• NoSQL/low-latency stores like Aerospike.
• Terraform for IaC; CI/CD with Jenkins or GitLab Runner.

🎁 Benefits

• Hybrid schedule: in-office Mon-Thu, Fridays remote.
• Global benefits include healthcare, mental health, retirement options.
• Paid time off and leave policies to support work-life needs.
• Inclusive, collaborative Roku culture.