Software Engineer IV/V, Data and Feature Infrastructure, AI Platform

Netflix

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$466,000–$750,000 / yr
Posted
58 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $608k
$93k most similar roles pay here $820k

This role pays more than 99% of similar roles. Most pay $168,162–$235,750 — the shaded band above. At the midpoint, this role pays about $608k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 28 open roles on FindRole.

Listed pay typically runs $440,000–$750,000 across 27 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Software Engineer IV/V, Data and Feature Infrastructure, AI Platform

Software Engineer 4/5 – Data and Feature Infrastructure, AI Platform will join the AI Platform organization to build a next-generation machine learning data and feature platform. The role focuses on improving the productivity of ML practitioners by creating systems that simplify the definition, testing, and serving of features and labels for high-throughput training and low-latency inference. Key responsibilities include building near-real-time feature computation engines, managing feature serving infrastructure, developing centralized feature and embedding stores, and creating frameworks to accelerate data availability. The candidate will work with large-scale data processing frameworks like Spark, Flink, and Kafka, while utilizing storage technologies such as Iceberg and Cassandra. Proficiency in Java or Python is required to optimize codebases on AWS. This role solves the technical challenge of making feature engineering scalable and efficient across domains like personalized recommendations, payments, games, and ads.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Build a next-generation ML data and feature platform to improve the productivity of ML practitioners.
  • Design and build a near-real-time feature computation engine for high-throughput training and low-latency inference.
  • Operate and manage feature computation pipelines and serving infrastructure across multiple ML domains.
  • Develop and scale systems that accelerate training through performant data loading and transformation.
  • Create frameworks to streamline the availability of new data for training and serving.
  • Build a centralized feature and embedding store to enable sharing across various business units.
  • Develop tools that allow practitioners to easily define, test, and access features for experimentation.

What we're looking for

  • Experience in building machine learning or data infrastructure.
  • Experience 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 like Iceberg and Cassandra.
  • Experience working with and optimizing Java and/or Python codebases.
  • Experience with public clouds, specifically AWS.
  • Preferred experience building ML feature stores or embedding-based retrieval systems.
  • Preferred experience working with notebooks such as Jupyter or Polynote.

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