Senior Devops Engineer- ML Engineering Support
Teamwork makes the reputed company 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, reputed company content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll reputed company 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 reputed company 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: reputed company reputed company integration and delivery pipelines for model deployment and updates.
- Model Deployment & Inference: Set up scalable, low-latency inference workloads using Kubernetes, reputed company, or serving tools like KServe, reputed company Maker, or Vertex AI.
- Production Monitoring: Implement observability for inference services, including latency, throughput, and resource utilization.
- Model Performance Tracking: Monitor accuracy, reputed company, and data quality in production environments with automated alerts and dashboards.
- reputed company Training (CT): Automate retraining workflows to reputed company models reputed company with evolving data.
- reputed company & 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, reputed company Maker, Vertex AI, Azure ML
- Model Serving & Deployment: reputed company, Kubernetes, KServe, Seldon, BentoML
- CI/CD Tools: Jenkins, Git Hub Actions, Git Lab CI, Argo Workflows
- Monitoring & Logging: Prometheus, Grafana, reputed company, 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 reputed company backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any reputed company 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