Senior Machine Learning Engineer, Ad Serving

About Roku

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico. We pioneered streaming to the TV and are changing how the world watches 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 contribution in a fast-growing public company where no one is a bystander.

About the Team

A highly scalable and highly available real-time advertising platform is crucial for supporting and growing Roku's advertising business. 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.

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

Requirements

• 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
• Ability to 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
• Plus: Publications in leading peer-reviewed conferences or academic journals
• Plus: Expertise in advertising

Compensation and Benefits

For Massachusetts Only: The estimated annual salary for this position is between $195,500 - $435,000 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.

Roku is committed to offering a diverse range of benefits as part of our compensation package to support 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.

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.

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.