Software Engineer L4/L5 - Data and Feature Infrastructure, Machine Learning Platform

Netflix is a company dedicated to entertaining the world through innovative storytelling and technology. They are seeking a Software Engineer to build a next-generation machine learning data and feature platform that enhances the productivity of ML practitioners by simplifying the definition and testing of ML features and labels.

Responsibilities:

• Design and build a near-real-time feature computation engine to generate ML features for both high-throughput training and low-latency inference applications
• Operate and manage the feature computation pipelines and feature serving infrastructure for various ML models across multiple ML domains
• Build and scale systems that accelerate training through performant data loading, transformation, and writing
• Create frameworks to streamline and expedite the availability of new data for training and serving
• Develop feature stores that enable feature discovery and sharing
• Increase the productivity of ML practitioners by making it easy to define and access features and labels for experimentation and productization

Requirements:

• Experience in building ML or data infrastructure
• Strong empathy and passion for providing a fantastic user experience to ML practitioners
• Experience in building and operating 24/7 high-traffic and low-latency online applications
• Experience with large-scale data processing frameworks such as Spark, Flink, and Kafka
• Experience in working with and optimizing Scala and/or Python codebases
• Experience with public clouds, especially AWS
• Self-driven and highly motivated team player
• Experience in building and operating ML feature stores
• Experience with Functional Programming
• Experience working with Notebooks such as Jupyter or Polynote