Role Overview
Roku is hiring a Senior Machine Learning Engineer, Ad Serving. This is a full-time role in New York, New York. Part of Roku's Data Science hiring, posted last week. The posted range is $195k to $510k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
This role offers $195k-$510k. The median for Senior-level Data Science roles is $170k-$220k (based on 96 listings). 81% above median.
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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 Team
A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. The mission of the Ad Engineering Team is to build this platform. The Ad Serving team designs, builds, deploys, and operates Roku’s Supply-Side, Ad Mediation, and Demand-Side platforms, which sit at the core of Roku’s ad monetization and are critical to the business. We are looking for a staff-level machine learning engineer with deep research and data science expertise to lead marketplace intelligence and demand optimization initiatives.
About the Role
This role will drive improvements in Roku Exchange efficiency by applying advanced data analytics and machine learning techniques to optimize pricing, allocation, and auction across the marketplace.
For New York Only - The estimated annual salary for this position is between $195,000 - $510,000 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
- Translate ambiguous business problems into clear hypotheses, measurable objectives, and actionable strategies
- Develop advanced ML models and research-driven methodologies to drive product innovation and improve business outcomes
- Design and run live experiments to prototype improvements and validate their effectiveness
- Build production-grade ML systems that operate reliably in large-scale, low-latency ad serving environments
- Partner with cross-functional stakeholders to define, plan, and drive the ML strategy for Ad Serving
- Provide technical leadership and mentorship in machine learning, experimentation frameworks, and applied research best practices
We're Excited If You Have
- 10+ years of industry experience applying machine learning and data science to solve complex, mission-critical real-world problems
- Deep expertise in statistics, machine learning, and optimization techniques
- Perform as a staff+ technologist on complex, revenue-critical, large-scale distributed ML systems
- Hands-on experience building and deploying ML models in production, including feature engineering, model serving, monitoring, and continuous improvement
- Solid software engineering skills in languages such as Python, SQL, and Java/Scala
- Strong CS fundamentals with the ability to translate ideas into clean, efficient code with ease
- Excellent written and verbal communication and collaboration skills
- Proven track record of leading cross-functional teams and initiatives
- Publications in leading peer-reviewed conferences or academic journals are a plus
- Expertise in advertising is a plus
#LI-SSC
What's Roku's approach to hybrid working?
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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 EmployeeRelations@Roku.com.
What should I know about Roku's 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 at any time by emailing WorkforcePrivacy@Roku.com.
About Roku
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Frequently Asked Questions
How do I apply for the Senior Machine Learning Engineer, Ad Serving position at Roku?
Use the Apply button above to submit your application directly to Roku. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior Machine Learning Engineer, Ad Serving position at Roku located?
This position is based in New York, New York. Roku has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Senior Machine Learning Engineer, Ad Serving role at Roku pay?
Roku has posted a compensation range of $195k to $510k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Senior Machine Learning Engineer, Ad Serving role at Roku posted?
This role was posted on July 12, 2026 (8 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Machine Learning Engineer, Ad Serving role at Roku require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Roku lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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