Senior Software Engineer, Machine Learning

Roku
San Jose, CA


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 Team


Our world-class Recommendation Team has been innovating in developing ML models in multiple areas, including content recommendation, content generation, content understanding, revenue/gross profit optimization, and much more. Both the scope and impact of Recommendations at Roku are massive as we personalized Home Screen, Destinations, EPG, and all other consumer-facing surfaces. Our Recommendation Team has a culture of collaboration and innovation (we have filed 30+ patents).

About the Role


We seek an outstanding, creative, and passionate Senior Machine Learning Engineer to join Roku's Recommendation Team. You will be responsible for building and owning the next generation of content recommendations/understanding/generation models/systems that will make the experience for our many millions of Roku users better.  

For California Only - The estimated annual salary for this position is between $195,000 and $465,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.


What You'll Be Doing



  • Apply state-of-the-art ML models, including and not limited to: transformer-based sequential models, collaborative filtering models, session-based models, reinforcement learning models, diffusion models

  • Run online AB tests and analyze them to optimize critical business KPIs

  • Collaborate across Product and Engineering teams to translate business requirements into technical specifications

  • Nurture our ML ecosystem to make it withstand scale, developer velocity, and future business shifts

  • Help in training and mentoring new team members 


We're Excited If You Have



  • 5+ years of experience in applying Machine Learning to concrete problems at a large scale. Recommendation domain is a plus  

  • Strong CS fundamentals and software engineering skills. Should be able to design/write an efficient algorithm with ease

  • Deep understanding of statistics learning and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, sequence-based models, reinforcement learning

  • Deep experience with system architecture, especially for serving ML models. And extensive experience in distributed computing, data pipelines, etc. 

  • Bachelor's/Master's in Computer Science or related area, Ph.D. in ML will be a plus

  • Bonus point: You deploy Gen AI in production


#LI-SSC

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.

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 [email protected] .

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 .

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 at any time by emailing [email protected] .

Posted 2026-01-07

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