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. The ideal candidate will collaborate closely with product teams and communicate technical insights to various stakeholders.

• 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, auction design, pricing, 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, including 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 improvements to models and algorithms.
• 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.
• Provide technical guidance and direction to the team.

• 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.