Machine Learning Engineer (L5) - Ads
Description For Machine Learning Engineer (L5) - Ads
Netflix, a global entertainment leader with 300M+ subscribers, is seeking a Machine Learning Engineer (L5) for their Core Ads Algorithms team. This role is crucial in developing Netflix's in-house ad tech ecosystem, launched in 2022. The position focuses on building intelligent ad personalization systems that balance user experience with advertiser goals. You'll work on cutting-edge ML models for ad ranking and personalization, collaborating with researchers and engineers to scale solutions for Netflix's massive user base. The role offers competitive compensation ($170K-$720K), comprehensive benefits, and the opportunity to shape the future of ad-supported streaming. You'll leverage Netflix's world-class infrastructure to solve complex technical challenges while maintaining the platform's renowned user experience. The position requires expertise in ML engineering, real-time systems, and languages like Java/Python/Scala. This is a remote position within the USA, offering the chance to work on high-impact problems that directly influence Netflix's expanding revenue stream.
Responsibilities For Machine Learning Engineer (L5) - Ads
- Bridge software engineering and machine learning research by developing efficient, scalable ML models
- Collaborate with ML researchers to operationalize research into production
- Enhance performance and scalability of ML models for advertising
- Work with ML scientists, infrastructure engineers, and product managers
- Contribute to company-wide ML infrastructure and tooling
- Design and deploy cutting-edge ML models for ad ranking, pacing and personalization
- Develop scalable, real-time solutions using Netflix's infrastructure
- Balance advertiser goals with viewer satisfaction
Requirements For Machine Learning Engineer (L5) - Ads
- Proficiency in Java, Python, or Scala
- Experience in building end-to-end ML model deployment and inference infra for real-time systems
- Experience building and designing low-latency API frameworks (REST, GraphQL)
- Skilled at maintaining production systems, with DevOps knowledge
- Strong problem-solving and cross-functional collaboration skills
Benefits For Machine Learning Engineer (L5) - Ads
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- 35 days annually for paid time off (hourly employees)
- Flexible time off (salaried employees)
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