Machine Learning Scientist 4 - Content & Conversation Modeling

Netflix
Seattle
Workplace: OnsiteFull timeUSD 300,000 - 537,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Collaboration","Technical judgment","Problem-solving","Cross-functional partnership"]

Develop and improve predictive machine learning models that power Netflix’s Content & Conversation Modeling team. Partner with content strategy, analytics, and data/ML platform teams to guide content valuation, scheduling, and performance decisions. Own the end-to-end ML lifecycle from feature engineering and training through deployment, monitoring, and continuous improvement, while scaling modular, resilient solutions in Python using modern ML/DL frameworks.

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FursaFursa
Netflix
Netflix
9 months ago

Machine Learning Scientist 4 - Content & Conversation Modeling

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

Job Summary

Develop and improve predictive machine learning models that power Netflix’s Content & Conversation Modeling team. Partner with content strategy, analytics, and data/ML platform teams to guide content valuation, scheduling, and performance decisions. Own the end-to-end ML lifecycle from feature engineering and training through deployment, monitoring, and continuous improvement, while scaling modular, resilient solutions in Python using modern ML/DL frameworks.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Innovate on predictive model suites to inform content strategy decisions.
  • •Partner with content strategy teams on evolving approaches to content valuation, scheduling, and performance.
  • •Own end-to-end ML model development from ideation and feature engineering through training, evaluation, deployment, monitoring, and continuous improvement.
  • •Partner with analytics and supporting teams to operationalize models in the US and globally.
  • •Influence data and ML infrastructure development with data engineer, ML Ops, and ML Platform teams.

Pay and Benefits

Salary: USD 300,000 - 537,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability InsurancePaid LeaveRetirementLife Insurance

Key Requirements

  • •Track record delivering business solutions using machine learning in ambiguous problem spaces.
  • •Strong technical judgment across the machine learning lifecycle, including deploying models in production.
  • •Advanced degree (MS or PhD) in a technical field focused on machine learning and predictive modeling.
  • •Strong experience in Python and an ML/DL framework such as scikit-learn, Keras, PyTorch, TensorFlow, MetaFlow, or JAX.
  • •Relevant experience in one or more machine learning roles, with strong communication skills for cross-functional partners.
Education:Master's in Computer Science, Economics, Physics, Statistics, Mathematics, or a related technical field
Skills:CommunicationCollaborationTechnical judgmentProblem-solvingCross-functional partnership
Tech Stack:PythonScikit-learnKerasPyTorchTensorFlowMetaFlowJAX

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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