Netflix is building an in-house world-class ad tech ecosystem to offer members more choices in consuming content through a new ad-supported tier, requiring intelligent, data-driven solutions for ad personalization and optimization to attract new members and provide value to advertisers.
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.
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.
- 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.
Other
- Strong problem-solving and cross-functional collaboration skills.
- Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
- If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
- We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
- We approach diversity and inclusion seriously and thoughtfully.
