Netflix

Software Engineer L5, Offline Inference, Machine Learning Platform

Netflix

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $100,000 - $720,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerJavaKubernetesPythonScala

About the role

  • Build developer-friendly APIs, SDKs, and CLIs that let researchers and engineers—experts and non-experts alike—submit and manage batch inference jobs with minimal effort, particularly in the domain of content and media.
  • Design, implement, and operate distributed services that package, schedule, execute, and monitor batch inference workflows at massive scale.
  • Instrument the platform for reliability, debuggability, observability, and cost control; define SLOs and share an equitable on-call rotation.
  • Foster a culture of engineering excellence through design reviews, mentorship, and candid, constructive feedback.

Requirements

  • Hands-on experience with ML engineering or production systems involving training or inference of deep-learning models.
  • Proven track record of operating scalable infrastructure for ML workloads (batch or online).
  • Proficiency in one or more modern backend languages (e.g. Python, Java, Scala).
  • Production experience with containerization & orchestration (Docker, Kubernetes, ECS, etc.) and at least one major cloud provider (AWS preferred).
  • Commitment to operational best practices—observability, logging, incident response, and on-call excellence.
  • Excellent written and verbal communication skills; effective collaboration across distributed teams and time zones.
  • Comfortable working in a team with peers and partners distributed across (US) geographies & time zones.
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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ML engineeringdeep-learning modelsscalable infrastructurebackend languagesPythonJavaScalacontainerizationorchestrationcloud provider
Soft skills
communication skillscollaborationmentorshipfeedbackengineering excellence