Machine Learning Engineer (L5) - Ads Platform Engineering

Netflix

68d • $100,000 - $720,000

About The Position

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences. Our Team: The Core Ads Algorithms team is the engine behind the intelligence that powers ad personalization at Netflix. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers—all while maintaining the exceptional quality and personalization that define the Netflix experience.

Requirements

• Proficiency in Java, Python, or Scala.
• Experience in building end-to-end ML model deployment for real-time systems.
• Skilled at maintaining production systems, with familiarity in DevOps tools and practices.
• Strong problem-solving and cross-functional collaboration skills.

Responsibilities

• Bridge software engineering and machine learning research by developing efficient, scalable, and maintainable machine learning models and services that meet high QPS and low-latency requirements.
• Collaborate closely with machine learning researchers to operationalize research and ensure seamless integration of models into production environments.
• Enhance the performance and scalability of machine learning models to effectively accommodate the increasing demand for advertising and the implementation of novel ad optimization objectives.
• Collaborate closely with machine learning scientists, infrastructure engineers, and product managers to shape the ML infrastructure for Netflix Ads.
• Optimize the performance and scalability of machine learning models to support increasing ad demand and the introduction of new ad objectives.
• Contribute to the ongoing enhancement of company-wide ML infrastructure and tooling, ensuring we remain at the forefront of industry best practices.
• Stay current with state-of-the-art computing and machine learning technologies.
• Design and Build Advanced Models: Develop and deploy cutting-edge machine learning and statistical models for ad ranking, pacing and personalization—ensuring the right ad reaches the right audience at the right moment.
• Drive Business Impact: Work on high-impact problems that directly influence Netflix’s new and expanding revenue stream, shaping the future of advertising in premium streaming.
• Innovate at Scale: Tackle some of the most exciting technical challenges in the industry, leveraging Netflix’s world-class infrastructure and massive datasets to create scalable, real-time solutions.
• Collaborate Across Disciplines: Partner with engineers, data scientists, product managers, and business leaders to translate business needs into technical breakthroughs and measurable outcomes.
• Champion User Experience: Balance advertiser goals with viewer satisfaction, building algorithms that respect privacy, enhance relevance, and maintain the seamless streaming experience Netflix is known for.
• Lead with Science: Stay at the forefront of research in machine learning, optimization, and data science, and bring the latest advancements into production.
• Shape the Future: Be part of a team that’s setting the standard for ad-supported streaming, with the opportunity to influence strategy, best practices, and the evolution of a high-profile product.

Benefits

• Annual salary compensation structure with flexibility in choosing salary versus stock options.
• Market-based compensation range of $100,000 - $720,000.

What This Job Offers

• Number of Employees: 5,001-10,000 employees