Hiring: Senior Machine Learning Engineer Company: Roku Location: San Jose, CA Job Posted Time: 2026-09-03 10:38:40 Employment Type: Remote Target Skills & Keywords : AWS, Airflow, CI/CD, Datadog, EKS, Flink, GCP, GitLab, Grafana, Java, Jenkins, Kafka, Kubernetes, MLOps, MLflow, Machine Learning, Prometheus, Python, Reinforcement Learning, Scala, Spark, Terraform About the job Experience: •8+ years of experience in DevOps, SRE, or ML infrastructure, including 4+ years supporting large-scale ML or AI systems Required Skills: •Partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecycle across training, evaluation, deployment, and monitoring — on top of a modern, cloud-native stack running on GCP and AWS using Kubernetes, Apache Airflow, Spark, Ray, MLflow, Chronon, etc. •For California Only - The estimated annual salary for this position is between $148,750 - $361,000 annually. •This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. •Lead the design and operation of scalable, production-grade cloud infrastructure for ML workloads across AWS and GCP, including GPU/TPU-based training and inference environments •Architect and improve CI/CD systems for ML models and platform services to enable fast, reliable, and safe production releases •Own and evolve low-latency infrastructure for real-time model inference, including KV store and vector databases •Define and enforce observability standards for ML systems, including model performance monitoring, drift detection, capacity planning, and pipeline health metrics •Participate in on-call rotation, leading incident response and root-cause analysis for critical ML training and serving infrastructure Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!