Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the US, 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 team Roku offers millions of options to our users: movies, episodes, news, and channels from all around the world. The ML Recommendations engine is crucial to user happiness by recommending the most personalized channel or content they would love to watch. Solving this customer problem is why we're actively seeking an Engineering Manager to drive further innovation in the channel and content recommendations.
About the role The person in this role will leverage their leadership and technical skills, business intuition, and analytical thinking to build best-of-class machine learning products. Hence, communication and presentation skills are essential. The role requires high technical aptitude, problem-solving abilities, motivation, and exceptional attention to detail. We're always in "build mode" because we're a company of data-focused builders, especially on the data-driven team. Every day, you'll look at what exists and find ways to improve it.
What you will be doing - You will be responsible for hiring and developing a team of exceptional Software and ML engineers who build and own the next generation of content recommendations and other algorithms/systems to make the experience for millions of Roku users 100% personalized and unique.
- Partner with senior stakeholders to plan and drive the ML strategy for the personalization experience
We're excited if you have - 5+ years of relevant Machine Learning Management experience in a fast-growing
public company - Strong CS fundamentals. Should be able to write an algorithm with ease.
- Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
- Can brainstorm and identify the right KPIs and objective functions.
- Experience building in-production recommendation systems.
- Good understanding of system architecture. Experience in big data technologies - streaming architecture, data pipelines (Spark, EMR, S3, Airflow).
- Bachelor's in computer science, Statistics, or related field, but a Ph.D. or Masters in CS or related fields is preferred
#LI-AK1The 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 .