Machine Learning Scientist 5 - Localization

Netflix
New York
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Communication","Collaboration","Business acumen","Research rigor","Ownership"]

Build causal and machine learning models to evaluate the impact of localization algorithms and improve the member experience. Own roadmaps for measuring localization outcomes using causal inference and ML, then partner with product managers and fellow data scientists to refine and scale findings. Present research insights across the company and become a regional expert who educates and connects localization data science work with regional offices.

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FursaFursa
Netflix
Netflix
2 days ago

Machine Learning Scientist 5 - Localization

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build causal and machine learning models to evaluate the impact of localization algorithms and improve the member experience. Own roadmaps for measuring localization outcomes using causal inference and ML, then partner with product managers and fellow data scientists to refine and scale findings. Present research insights across the company and become a regional expert who educates and connects localization data science work with regional offices.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Serve as a strategic partner to researchers and engineers to guide localization algorithm development.
  • •Define and execute roadmaps for measuring localization member impact and improving member experience using causal inference and machine learning tools.
  • •Partner with product managers and other data scientists to refine and scale findings.
  • •Present research and insights to all levels of the company.
  • •Become a regional expert on Localization Data Science and Engineering to educate and connect with regional offices.

Pay and Benefits

Perks:Health Insurance401kEquityPaid Leave

Key Requirements

  • •Proven track record researching and leading causal inference, machine learning, and AI evaluation methods in ambiguous, complex areas with technical rigor and robustness.
  • •High proficiency with a standard tech stack including R, Python, and SQL, plus causal inference methods such as propensity score matching and double machine learning.
  • •Experience training supervised ML models for localization use cases, including LLM evaluation methods.
  • •4+ years of relevant experience applying causal inference and machine learning to real problems.
  • •Exceptional communication and collaboration skills, with strong business acumen and comfort operating with ambiguity while taking ownership.
Experience:4+ years
Skills:CommunicationCollaborationBusiness acumenResearch rigorOwnership
Tech Stack:RPythonSQLCausal InferencePropensity score matchingDouble machine learningSupervised LearningLLM Evaluation

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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