The Machine Learning Scientist 6 role at Netflix is focused on leading the user understanding charter within the Ad Ranking organization. This team is dedicated to leveraging multimodal signals and LLM techniques to enhance ad targeting and ranking systems. The successful candidate will shape the data strategy for the ads team and collaborate with various stakeholders to drive impactful results. This position offers the opportunity to influence the technical direction of user understanding and contribute to the evolution of Netflix's ad tech ecosystem.

• Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent industry experience.
• 7+ years of industry experience building and shipping production ML systems at scale, with demonstrated staff/senior-staff-level scope and impact.
• Track record building user or audience understanding systems, ideally in a monetization or ads context.
• Hands-on experience applying LLM to user modeling, content understanding, or recommendation.
• Proficiency in Python, Scala, or Java, and experience prototyping and deploying models on large-scale production data.

• Set the technical direction for user understanding by leveraging multimodal signals.
• Shape and land Netflix's data strategy for a fast-growing team, partnering with privacy, legal, and platform engineering.
• Partner with the ranking, bidding & pacing teams to get user-understanding signals into production.
• Build rigorous online and offline evaluation frameworks to quantify the incremental value of new signals, representations, and models.
• Communicate technical strategy, trade-offs, and results to both technical and non-technical audiences.

• 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.