Machine Learning Engineer 5 - Ads Platform Engineering

Job Description

Netflix is looking for highly motivated engineers to join their Ads Platform teams and work on building highly performant advertising systems.

Requirements

• Proficiency in Java, C++, Python, or Scala with a solid understanding of multi-threading and memory management
• Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems
• Experience in handling data at extremely large volumes with big data tools like Spark
• Yield Optimization, scoring, and bid ranking models, and Dynamic Allocation of direct/programmatic guaranteed and non-guaranteed inventory
• General understanding of the advertising marketplace and landscape
• Collaboration with cross-functional stakeholders to productionize and deploy models at scale

Responsibilities

• Building state-of-the-art realtime inventory forecasting solutions leveraging ML models
• Powering real-time ad decisioning and delivering high-quality ads
• Building interfaces with SSPs and DSPs to integrate with Advertisers' primary buying mechanisms
• Building and serving different ad formats available on the platform
• Utilizing advanced machine learning models for identity resolution and precise targeting

Benefits

• 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.