Research Engineer 4/5 - Member Lifecycle and Monetization

Netflix
Panama
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Research & Scientific (R&D)Experience: 4+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Problem-solving","Self-motivation"]

Build and operate high-impact machine learning models to drive Netflix member lifecycle and monetization growth. Contribute to growth and commerce algorithms by validating with offline experiments and launching online A/B tests in production systems. Partner with ML engineers, scientists, and product managers to translate business intuition into scalable, production-ready solutions. Help improve ML infrastructure and champion availability, scalability, operational excellence, and cost management.

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FursaFursa
Netflix
Netflix
2 days ago

Research Engineer 4/5 - Member Lifecycle and Monetization

✓ Verified Job

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

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

Job Summary

Build and operate high-impact machine learning models to drive Netflix member lifecycle and monetization growth. Contribute to growth and commerce algorithms by validating with offline experiments and launching online A/B tests in production systems. Partner with ML engineers, scientists, and product managers to translate business intuition into scalable, production-ready solutions. Help improve ML infrastructure and champion availability, scalability, operational excellence, and cost management.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and operate high-impact machine learning models.
  • •Partner with researchers, engineers, data scientists, and product managers to identify high-value ML applications and translate business intuition into data-driven solutions.
  • •Work with scientists and engineers to create scalable, production-ready ML solutions, from concept through deployment in real-time Netflix systems.
  • •Develop better infrastructure for developing and deploying ML models.
  • •Advocate for and apply best practices for availability, scalability, operational excellence, and cost management.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability InsuranceHsaFsaParental LeaveLife InsurancePaid LeaveFlexible Time

Key Requirements

  • •4+ years of full-time engineering experience.
  • •Degree in Computer Science or a related field.
  • •Strong software design and development skills using Scala, Java, and Python, with engineering best practices (e.g., version control, testing, code review).
  • •Broad understanding of core machine learning concepts and their use in large-scale, real-world machine-learning systems.
  • •Familiarity with end-to-end machine learning pipelines (training or production deployment) and challenges like explainability.
Experience:4+ years
Education:Bachelor's
Skills:CommunicationCross-functional collaborationProblem-solvingSelf-motivation
Tech Stack:ScalaJavaPythonMachine learningA/B testingOffline experimentsProduction systemsML pipelines

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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