The role is focused on enhancing Netflix's ad marketplace through the development of machine learning and optimization algorithms. The Ad Marketplace team is dedicated to creating a competitive and innovative ad ecosystem that balances revenue, member experience, and advertiser outcomes. This position involves working with large-scale production data to improve ad quality and performance while collaborating closely with product teams. The ultimate goal is to deliver relevant ad experiences for members and impactful results for advertisers.

• 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.
• Strong business acumen and ability to translate technical results into business impact.
• Experience in ad optimization stack, such as targeting, ranking, and bidding.
• Excellent communication and collaboration skills.

• 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.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.