Software Engineer L4/L5 Training Platform, Machine Learning Platform at Netflix
Interview Preparation Plan
This role involves designing, building, and operating scalable ML infrastructure to accelerate innovation at Netflix. The primary focus is on developing a robust platform that supports large-scale machine learning model training, fine-tuning, transformation, and evaluation workflows across the entire company. You will create intuitive APIs and interfaces for both expert and non-expert ML practitioners, ensuring ease of access to the training platform. A key aspect of this position is enhancing the productivity of ML practitioners by simplifying feature and label definition and access for experimentation and productionization. This role demands a strong understanding of modern ML development workflows and the ability to collaborate closely with ML modeling engineers. You will contribute to the broader Machine Learning Platform organization to deliver a cohesive end-user experience. The position requires hands-on experience with building and operating production-level ML infrastructure, dealing with both training and inference of deep learning models, and a proven track record in scaling ML use cases. Experience with cloud platforms, particularly AWS, and a willingness to work across multiple tech stack layers for both foundational and growth-oriented projects are essential. You will also be expected to champion and implement best practices in operations, including observability, logging, reporting, and on-call processes, to ensure engineering excellence.
Key Responsibilities
- Design and build a scalable platform for large-scale ML model training, fine-tuning, transformation, and evaluation.
- Develop user-friendly APIs and interfaces for ML practitioners of all experience levels.
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