Staff ML Engineer, Ad Serving — Hybrid/Remote Fridays

Roku, Inc.; New York (NY); Hybrid; USD 195,000 - 510,000; Full time

Benefits offered by this job

Health insurance

Equity awards

Paid time off

Job summary

Roku, Inc. in New York seeks a staff-level machine learning engineer to lead marketplace intelligence and demand optimization for Roku Exchange, driving pricing, allocation, and auction improvements in a high-scale ad serving platform.

The role emphasizes production ML systems, collaboration with cross-functional teams, and guiding ML strategy for Ad Serving, with a competitive compensation package and comprehensive benefits.

Qualifications

• 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.

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.

Job description

Roku, Inc. in New York seeks a staff-level machine learning engineer to lead marketplace intelligence and demand optimization for Roku Exchange, driving pricing, allocation, and auction improvements in a high-scale ad serving platform.

The role emphasizes production ML systems, collaboration with cross-functional teams, and guiding ML strategy for Ad Serving, with a competitive compensation package and comprehensive benefits.