Staff ML Software Engineer (L6) — Platform Systems, AIMS Engineering

Netflix
Panama
Workplace: RemoteFull timeUSD 600,000 - 1,066,000 annuallyFunction: Software EngineeringSkills: ["Technical judgment","Collaboration","Program leadership","Problem scoping","Operational excellence"]

Own platform subsystems for Netflix’s AIMS organization that power next-generation AI/ML workflows. Design, build, and operate observability, evaluation, and tooling with ML-specific primitives to detect and diagnose issues across training, serving, and data quality. Drive cost optimization and reliability improvements across the AI/ML stack, and help shape the migration path while translating emerging infrastructure and model patterns into an actionable roadmap.

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FursaFursa
Netflix
Netflix
2 months ago

Staff ML Software Engineer (L6) — Platform Systems, AIMS Engineering

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Own platform subsystems for Netflix’s AIMS organization that power next-generation AI/ML workflows. Design, build, and operate observability, evaluation, and tooling with ML-specific primitives to detect and diagnose issues across training, serving, and data quality. Drive cost optimization and reliability improvements across the AI/ML stack, and help shape the migration path while translating emerging infrastructure and model patterns into an actionable roadmap.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and operate observability, evaluation, and tooling subsystems that Netflix’s next-generation ML architecture depends on.
  • •Prove subsystems in current operations, including anomaly detection, root cause analysis, and operational automation.
  • •Design and build ML observability systems to provide visibility into model behavior, training pipeline health, serving latency, and data quality.
  • •Identify and drive cost optimization across AIMS training and serving infrastructure, including increasingly automated compute efficiency tooling.
  • •Architect reliability improvements across the AIMS AI/ML stack to reduce toil, improve on-call ergonomics, and set standards for operational excellence.

Pay and Benefits

Salary: USD 600,000 - 1,066,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability ProgramsLife InsurancePaid LeaveFlexible Time

Key Requirements

  • •Significant experience designing, building, and operating production AI/ML systems at scale, including training pipelines and familiarity with model serving and online inference under high traffic.
  • •Hands-on experience building subsystems for advanced agentic architectures (e.g., memory, trace, eval, replay) or orchestration/routing layers for complex model systems.
  • •Strong software engineering fundamentals with deep Python expertise and working proficiency in at least one JVM language (Scala or Java).
  • •Proven track record improving AI/ML system reliability, reducing infrastructure costs, and improving operational scalability.
  • •Experience building observability and monitoring systems for AI/ML workloads across training, serving, and data pipelines.
Experience:AI/MLDistributed systemsLLM
Skills:Technical judgmentCollaborationProgram leadershipProblem scopingOperational excellence
Tech Stack:PythonScalaJavaLLM evaluationTraceReplayAnomaly detectionRoot cause analysisObservabilityModel servingOnline inferenceTraining pipelinesData qualityBatch processingDistributed systems

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
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Glassdoor: 4.1
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