Machine Learning Engineer (L5) - Ads at Netflix
Interview Preparation Plan
This role at Netflix focuses on developing, deploying, and enhancing machine learning models and services for the company's ad platform. The goal is to optimize ad personalization and scalability, ensuring that the right ad reaches the right audience at the right moment. The Machine Learning Engineer will bridge the gap between software engineering and ML research, creating efficient, scalable, and maintainable ML models and services that meet high QPS and low-latency requirements. The position involves collaborating closely with machine learning researchers to operationalize research and integrate models into production environments. A key aspect of this role is to enhance the performance and scalability of ML models to support growing ad demands and new optimization objectives. The engineer will also contribute to shaping the ML infrastructure for Netflix Ads and improving company-wide ML tools and practices, staying abreast of the latest advancements in computing and machine learning technologies.
Key Responsibilities
- Develop and deploy scalable machine learning models for ad ranking, pacing, and personalization.
- Collaborate with researchers and cross-functional teams to operationalize ML models into production.
- Enhance ML model performance and scalability for increasing ad demands and new objectives.
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