Machine Learning Engineer, L5 – Ads Platform Engineering

October 17

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Netflix

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B2C • eCommerce • Media

Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.

- employees

Founded 1997

👥 B2C

🛍️ eCommerce

📱 Media

💰 $20M Post-IPO Equity on 2022-01

📋 Description

• 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. • 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. • Work on high-impact problems that directly influence Netflix’s new and expanding revenue stream, shaping the future of advertising in premium streaming. • 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. • Partner with engineers, data scientists, product managers, and business leaders to translate business needs into technical breakthroughs and measurable outcomes. • Balance advertiser goals with viewer satisfaction, building algorithms that respect privacy, enhance relevance, and maintain the seamless streaming experience Netflix is known for. • Stay at the forefront of research in machine learning, optimization, and data science, and bring the latest advancements into production.

🎯 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.

🏖️ Benefits

• Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. • We do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. • We approach diversity and inclusion seriously and thoughtfully. • We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.