Machine Learning Scientist 5 - Ad Ranking

About the Role: The Ad Ranking team within the Ads Data Science and Engineering organization is the central intelligence driving ad personalization at Netflix. The team is responsible for enhancing ad quality and performance through advanced machine learning and optimization algorithms, utilizing both proprietary and external data signals. Our goal is to create innovative, data-driven solutions that deliver highly relevant ad experiences for our members and achieve impactful results for advertisers, all while upholding the exceptional quality and personalization characteristic of the Netflix experience.

Responsibilities

• Design and implement machine learning and optimization algorithms to improve ad quality and performance.
• Build, train, and evaluate models on large-scale production data.
• Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements.
• Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals.
• Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions.

Qualifications

• Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field.
• Proficiency in Python, Scala or Java.
• Deep knowledge of machine learning, optimization, and data analysis techniques.
• Experience with prototyping and deploying algorithms using large-scale production data.
• Strong business acumen and ability to translate technical results into business impact.
• Experience in ad optimization stack, e.g., targeting, ranking, bidding.
• Excellent communication and collaboration skills.

Benefits & Compensation

• Annual Salary Range: $466,000.00 - $750,000.00 USD.
• Comprehensive benefits including Health Plans and Mental Health support.
• 401(k) Retirement Plan with employer match and Stock Option Program.
• Disability Programs, Health Savings and Flexible Spending Accounts.
• Family-forming benefits, and Life and Serious Injury Benefits.
• Flexible time off for full-time salaried employees.