2 months ago
Base Salary
$196k - $435k/yr
Responsibilities
- Translate ambiguous business problems into hypotheses, measurable objectives, and actionable strategies.
- Develop advanced machine learning models and research methodologies for product innovation and business outcomes.
- Design and run live experiments to prototype improvements and validate effectiveness.
- Build production-grade ML systems for large-scale, low-latency ad serving environments.
- Partner with stakeholders to define and drive the Ad Serving machine learning strategy.
- Provide technical leadership and mentorship in machine learning, experimentation frameworks, and applied research.
Requirements
- 10+ years of industry experience applying machine learning and data science to complex, mission-critical problems.
- Deep expertise in statistics, machine learning, and optimization techniques.
- Staff-level technical experience with complex, revenue-critical, large-scale distributed ML systems.
- Hands-on experience building and deploying production ML models, including feature engineering, model serving, monitoring, and continuous improvement.
- Strong software engineering skills in Python, SQL, and Java or Scala.
- Strong computer science fundamentals and the ability to write clean, efficient code.
- Excellent written, verbal communication, and collaboration skills.
- Proven experience leading cross-functional teams and initiatives.
- Peer-reviewed publications and advertising expertise are preferred.
Benefits
- Health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
- Additional benefits may include medical, dental, vision, accident, commuter, retirement, mental health, and financial wellness support, subject to location and role availability.
- Hybrid work generally consists of working in the office Monday through Thursday, with Fridays generally flexible for remote work; some roles or locations require five days per week onsite.
Categories
About Roku
Roku builds streaming players, Roku-branded TVs and audio gear, and the Roku OS licensed to TV manufacturers. Its platform supports ad-supported and subscription streaming, including The Roku Channel and Roku Originals, and underpins a significant advertising business. Founded in 2002 and headquartered in San Jose, it is a public company trading on NASDAQ under the ticker ROKU.