Machine Learning Scientist 5

About the Role: Netflix is building an in-house world-class ad tech ecosystem. The Ad Marketplace team in Ads Data Science and Engineering plays a crucial role in Netflix's ad business growth. We are looking for a Machine Learning Scientist to build a healthy, competitive, and innovative ad marketplace that balances long-term Netflix revenue, member experience, and advertiser outcomes.

What You'll Do

• 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.
• Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders.

What You Bring

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a 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.
• Bonus: Experience in the ad optimization stack (e.g., targeting, ranking, bidding).

Benefits

• Top of market compensation ranging from $466,000 to $750,000 per year.
• Comprehensive benefits including Health Plans, Mental Health support, and a 401(k) Retirement Plan with employer match.
• Stock Option Program, Family-forming benefits, and flexible paid time off.
• 100% remote work flexibility within the USA.