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# staff-level machine learning engineer

- **Company:** Roku, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $195,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Cursor (Graphical User Interface Elements), Python (Programming Language), Software Engineering, SQL Databases, Feature Engineering, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/staff-machine-learning-engineer-ad-serving-roku-8015323

## About the Role

* 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

## Description

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., 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., * 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, 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.


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