Senior Software Engineer, MLOps

Job Description 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 DevOps 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 TensorFlow, 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, SageMaker, 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:TensorFlow, PyTorch, Scikit-learn - MLOps Platforms:MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, Azure ML - Model Serving & Deployment:Docker, Kubernetes, KServe, Seldon, BentoML - CI/CD Tools:Jenkins, GitHub Actions, GitLab 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 [Confidential Information]. 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 employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe here at any time.