Staff Machine Learning Engineer

Who you are

• 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

What the job involves

• 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

Benefits

• Medical, wellness and financial benefits
• Free snacks and access to the company fitness center
• Unlimited paid time off policy
• Work from home opportunities