Senior Machine Learning Engineer

Jobr

Boston, Massachusetts, United States

Boston, Massachusetts, United States

À propos

Teamwork makes the stream work. About the Team 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.
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. For Massachusetts Only – The estimated annual salary for this position is between $195,500 – $352,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
What You'll Be Doing
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
We're Excited If You Have
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
Benefits Roku is committed to offering a diverse range of benefits as part of its compensation package to support employees and their families. The comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
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Boston, Massachusetts, United States

Compétences linguistiques

English

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