Roku is the #1 TV streaming platform in the US 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 Roku
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV brands and pay TV operators. With tens of million players sold across many countries, thousands of streaming channels and billions of hours watched over the platform, building scalable, highly available, fault-tolerant, big data platform is critical for our success.
About the role
You will join the Roku Pay Data Engineering team and will work to accelerate our efforts around anomaly detection and recommendation systems within the payments ecosystem. In this pivotal role, you will work closely with Data Scientists to spearhead the development of robust, scalable, and efficient infrastructure essential for model serving, training, feature engineering, and data processing. Your expertise will be crucial in building and maintaining ML models to serve real-time alerting and insights.
What would you be doing
- Design and implement automation for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models
- Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift
- Optimize compute resources for cost and performance efficiency.
- Ensure high availability and scalability of ML infrastructure.
- Collaborate with cross-functional teams (Data Platform, Data Science) to streamline end to end ML production flow efforts
What you have done and what you bring
- 5+ years of experience in the design of large scale & production ML Infra systems or Distributed Systems.
- Experience in deploying and maintaining full lifecycle of ML models
- Experience with orchestration tools like Airflow, KubeFlow, MLFlow, Vertex AI etc.
- Proficiency in Cloud computing (e.g. GCP, AWS) and containerization technologies (e.g. Kubernetes, Docker)
- Strong Python skills and familiarity with following open source ML libraries: Scikit-learn, Pandas, PyTorch, Tensorflow, and deep learning packages (e.g. RNN)
- Familiarity with ML optimization models with standard frameworks/solvers (k-means, decision trees, ensemble models)
- Familiarity with recommendation systems and other ML techniques
- Familiarity with big data technologies and streaming architecture, data pipelines, Spark, SQL, etc.
- Experience in payments domain is preferred
- BS (or higher) degree in Computer Science, or a related field.
#LI-AR3
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.
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Top Skills
What We Do
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.
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