Senior Machine Learning Engineer, Ad Serving

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.

Responsibilities

• 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
• 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

Qualifications

• Publications in leading peer-reviewed conferences or academic journals are a plus
• Expertise in advertising is a plus

Skills

• Machine Learning
• Data Science
• Optimization Techniques
• Software Engineering
• Communication and Collaboration

Benefits

• Health Insurance
• Equity Awards
• Life Insurance
• Disability Benefits
• Parental Leave
• Wellness Benefits
• Paid Time Off

Pay

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.

Schedule

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.