Back to positions

Senior Devops Engineer- ML Engineering Support

Remote role Full-time Open position

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

Further positions

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

Remote role Full-time

Lead Product Manager, AI Agents & Emerging Products

Remote role Full-time

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

Remote role Full-time

Mobile Mortgage Advisor

Remote role Full-time

Licensed Loan Officer, Consumer Direct (Refi Team)

Remote role Full-time

Pre-Approval Specialist/Loan Officer Assistant

Remote role Full-time

Conventional Underwriter

Remote role Full-time

Motion Designer Full Time - Remote

Remote role Full-time

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

Remote role Full-time

Online Motion Graphics Designer Jobs – Work Anywhere

Remote role Full-time

Experienced Disney Data Entry and Virtual Assistant Professional - Remote Job Opportunity with Competitive Salary and Immediate Start

Remote role Full-time

Field Representative - Southwest

Remote role Full-time

Part Time Remote Data Entry and Customer Service Administrative Assistant - Entry Level Opportunity at arenaflex

Remote role Full-time

Senior Python Developer

Remote role Full-time

Patient Access Schedule Agent-SHARE Partially Remote 11a-3p

Remote role Full-time

Associate Product Manager

Remote role Full-time

REMOTE Employment Defense Attorney — Up to $300k Total Comp — Established Regional Firm

Remote role Full-time

Short Term Disability Operations Manager - 7391

Remote role Full-time

Customer Account Manager

Remote role Full-time

[Remote] Motion Designer

Remote role Full-time