The Ads Signals & Targeting team at Netflix is seeking highly motivated engineers to enhance ad experiences through advanced machine learning models. This role focuses on building end-to-end ML model deployment and inference infrastructure for real-time ad systems. The team aims to deliver relevant ads while ensuring member privacy and driving optimal advertiser outcomes. As part of a growing team, you will collaborate with various stakeholders to productionize and deploy models at scale.

• Experience in building end-to-end ML model deployment and inference infrastructure for low-latency real-time ad systems.
• Experience building machine learning models for ads targeting and lookalike expansion.
• Professional experience in designing and building user and contextual signals and audience targeting features for ad platforms.
• Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management.
• Experience in handling data at extremely large volumes with big data tools like Spark.

• Collaborate with cross-functional stakeholders from the science team, product, engineering, operations, design, and consumer research.
• Productionize and deploy models at scale.
• Enhance member experiences through continuous refinement of machine learning models.
• Ensure advertiser brand safety during ad serving.

• 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.