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

Netflix
Panama
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Software EngineeringSkills: ["Empathy","User experience focus","Self-driven","Team player","Motivation"]

Build and scale Netflix’s next-generation ML data and feature platform that lets practitioners define and test features and labels while your systems handle computation, storage, and serving. Design near-real-time feature computation and low-latency feature serving for high-throughput training and inference, operate 24/7 pipelines, and create frameworks for faster data availability. Collaborate across the AI Platform organization to improve productivity and enable shared feature and embedding stores.

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FursaFursa
Netflix
Netflix
1 year ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build and scale Netflix’s next-generation ML data and feature platform that lets practitioners define and test features and labels while your systems handle computation, storage, and serving. Design near-real-time feature computation and low-latency feature serving for high-throughput training and inference, operate 24/7 pipelines, and create frameworks for faster data availability. Collaborate across the AI Platform organization to improve productivity and enable shared feature and embedding stores.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build near-real-time feature computation engines for both high-throughput training and low-latency inference.
  • •Operate and manage feature computation pipelines and feature serving infrastructure across ML domains.
  • •Build and scale systems that accelerate training via performant data loading, transformation, and writing.
  • •Create frameworks to streamline and expedite the availability of new data for training and serving.
  • •Develop feature stores to enable feature discovery, sharing, and increased ML practitioner productivity.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityHsaFsaLife InsurancePaid LeaveFlexible Time

Key Requirements

  • •Experience building ML or data infrastructure.
  • •Strong empathy and passion for delivering a great user experience to ML practitioners.
  • •Experience building and operating 24/7 high-traffic, low-latency online applications.
  • •Experience with large-scale data processing frameworks such as Spark, Flink, and Kafka.
  • •Experience working with and optimizing Java and/or Python codebases, and data storage/serving technologies such as Iceberg and Cassandra.
Experience:Machine learningData infrastructure
Skills:EmpathyUser experience focusSelf-drivenTeam playerMotivation
Tech Stack:SparkFlinkKafkaIcebergCassandraJavaPythonScalaAWSChrononJupyterPolynote

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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