Netflix is seeking a systems engineer to build and scale the core infrastructure for ad optimization. The role involves working across the stack from model serving to auction execution, impacting revenue and advertiser outcomes in a fast-paced environment.

• 7+ years building distributed systems and backend services at scale
• Ads domain experience (2+ years): worked on ad serving, delivery, or marketplace systems
• Experience with ML model serving infrastructure: real-time inference, model deployment pipelines, feature hydration, fallback strategies
• Built or worked on core ad tech systems: ad servers, bidders, pacers, or ranking and scoring components
• Built APIs and backend services that integrate across a multi-team platform
• Understanding of ad serving concepts: inventory management, frequency capping, member ad experience quality, and supply-demand dynamics
• Comfortable working at the intersection of engineering and data science, productionizing ML models into low-latency serving paths
• Ability to operate in an environment that is a mix of big-tech scale and startup speed

• Build and evolve the real-time ad decisioning path: ranking, scoring, bidding, and pacing under strict latency and throughput constraints
• Develop and operate ML model serving infrastructure supporting dozens of concurrent hot-path models with sub-20ms P99 inference
• Partner with Science and Platform teams to productionize models and deploy algorithms into the serving stack
• Build simulation and testing frameworks to enable offline validation of marketplace changes before live rollout
• Implement and improve real-time pacing systems that drive budget delivery accuracy across campaign lifetimes
• Contribute to goal-based delivery optimization: dynamic allocation of budget and inventory across demand channels
• Build reusable components and clean interfaces that improve developer velocity across the team
• Participate in operational excellence: reliability, observability, deployment automation, and incident response across the optimization stack

• 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.