Back

Senior Devops Engineer- ML Engineering Support

Worldwide Salaried Open

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the Role

We are looking for an MLOps Engineer to design, automate, and manage the end-to-end machine learning lifecycle — from data engineering to continuous monitoring in production. The ideal candidate will collaborate with data scientists, data engineers, and Dev Ops teams to build scalable, reliable, and secure ML systems. What You’ll Be Doing

  • Data Engineering: Design and maintain reliable data pipelines for data ingestion, cleaning, and transformation.
  • Feature Engineering: Automate and manage feature extraction, selection, and storage for consistent model input.
  • Model Development: Collaborate with data scientists to streamline model experimentation and development using frameworks such as Tensor Flow, PyTorch, or Scikit-learn.
  • Model Training & Validation: Build automated pipelines for model training, hyperparameter tuning, and evaluation.
  • Model Registry & Versioning: Track and manage model versions, artifacts, and metadata using MLflow, DVC, or Vertex AI.
  • CI/CD for ML Models: Develop continuous integration and delivery pipelines for model deployment and updates.
  • Model Deployment & Inference: Set up scalable, low-latency inference workloads using Kubernetes, Docker, or serving tools like KServe, Sage Maker, or Vertex AI.
  • Production Monitoring: Implement observability for inference services, including latency, throughput, and resource utilization.
  • Model Performance Tracking: Monitor accuracy, drift, and data quality in production environments with automated alerts and dashboards.
  • Continuous Training (CT): Automate retraining workflows to keep models current with evolving data.
  • Security & Compliance: Ensure ML workflows meet organizational and regulatory compliance requirements.
  • Optimization &

Collaboration: Continuously improve ML infrastructure, cost efficiency, and developer productivity. We’re Excited if You Have

  • Programming & Scripting: Python, Bash, SQL
  • ML Frameworks: Tensor Flow, PyTorch, Scikit-learn
  • MLOps Platforms: MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, Azure ML
  • Model Serving & Deployment: Docker, Kubernetes, KServe, Seldon, BentoML
  • CI/CD Tools: Jenkins, Git Hub Actions, Git Lab CI, Argo Workflows
  • Monitoring & Logging: Prometheus, Grafana, Datadog, ELK Stack
  • Version Control & Artifact Management: Git, DVC, MLflow Registry
  • Cloud Platforms: AWS, GCP, or Azure (any one or more)

Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our… Apply tot his job Apply To this Job

More jobs

Technical Product Manager, Mobile App Attribution and Measurement job at StackAdapt in US National

Worldwide Salaried

Lead Product Manager, AI Agents & Emerging Products

Worldwide Salaried

Principal Technical Product Manager – Driving Innovation in AT&T’s Flagship Mobile App Experience Across Multiple Locations

Worldwide Salaried

Mobile Mortgage Advisor

Worldwide Salaried

Licensed Loan Officer, Consumer Direct (Refi Team)

Worldwide Salaried

Pre-Approval Specialist/Loan Officer Assistant

Worldwide Salaried

Conventional Underwriter

Worldwide Salaried

Motion Designer Full Time - Remote

Worldwide Salaried

Freelance Motion Graphic Designer -NBC Sports, (Live Sports -On Air Graphics)

Worldwide Salaried

Online Motion Graphics Designer Jobs – Work Anywhere

Worldwide Salaried

Google Remote Job, Google Entry Level Jobs

Worldwide Salaried

Assistant Manager - Hiring Immediately

Worldwide Salaried

Experienced Data Entry Clerk – Remote Work Opportunity with arenaflex

Worldwide Salaried

Experienced Customer Service Associate IV – Delivering Exceptional Customer Experiences at arenaflex

Worldwide Salaried

Reimbursement Specialist

Worldwide Salaried

Experienced Customer Service Representative – Delivery Partner Liaison – Work From Home Opportunity at arenaflex

Worldwide Salaried

Fully Remote Online Chat Roles No Degree Needed...

Worldwide Salaried

Corporate Account Executive, SLED - SoCal

Worldwide Salaried

Senior Application Security Engineer -Network Engineer/ Onsite 5 days, Seattle/Austin/ New York

Worldwide Salaried

Underwriter

Worldwide Salaried