Note: The job is a remote job and is open to candidates in USA. Netflix, Inc. is a leading entertainment company that seeks to push the boundaries of storytelling through innovative technology. The role involves building a next-generation ML data and feature platform to enhance the productivity of ML practitioners and improve the efficiency 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

Skills

• 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

Benefits

• Health Plans
• Mental Health support
• A 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

Company Overview

Company H1B Sponsorship