Netflix is seeking a motivated ML engineer to join their Ads Platform Engineering team, which focuses on building advertising systems that enhance the viewing experience while maximizing business impact. The team is tasked with developing high-performance advertising solutions in the rapidly growing Connected TV space. The role involves productionizing predictive models for ad inventory and campaign effectiveness, as well as collaborating with various stakeholders to deploy these models at scale. This position offers a unique opportunity to contribute to innovative ad tech solutions in a dynamic environment.

• Experience in productionizing models to forecast ad inventory availability and performance.
• Ability to create predictive models for advertising campaign effectiveness, including metrics like clicks and ROI.
• Experience in low-latency real-time advertising environments.
• Knowledge of scalable simulation solutions for inventory scenarios.
• Familiarity with budgeting and pacing systems, models, and algorithms.
• Proficiency in applying modeling and machine learning techniques for business problems.

• Productionize models to forecast ad inventory availability and performance.
• Develop predictive models to assess the effectiveness of advertising campaigns.
• Implement complex models in real-time advertising environments.
• Build scalable simulation solutions to model inventory scenarios.
• Collaborate with cross-functional stakeholders to deploy models at scale.

• 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.