Software Engineer 4/5 – Data and Feature Infrastructure, AI Platform

🕒 July 15

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Build cutting-edge data and feature infrastructure that will power ML models across various domains • 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 with data storage and serving technologies such as Iceberg and Cassandra • Experience in working with and optimizing Java and/or Python codebases • Experience with public clouds, especially AWS • Self-driven and highly motivated team player. • Preferred Qualifications: Experience in building and operating ML feature stores, such as Chronon • Experience in building embedding-based retrieval systems • Experience working with Notebooks such as Jupyter or Polynote.

🏖️ Benefits

• 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 • Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off.