Machine Learning Scientist 4/5 - Generative Models

Netflix
Panama
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Ownership","Comfortable with ambiguity","Stakeholder communication"]

Design and develop ML solutions for Netflix’s Promotional Assets & Creative Technology team, defining algorithmic strategies that improve how titles are promoted and discovered. Own end-to-end ML development (research, training, evaluation) and run rigorous experiments with strong statistical validation. Collaborate with engineers and stakeholders to integrate models into business platforms, advance NLP generation and LLM post-training approaches, and continually track field progress to enhance member experiences.

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FursaFursa
Netflix
Netflix
2 months ago

Machine Learning Scientist 4/5 - Generative Models

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Last checked: 12 hours agoStatus: Live

Job Summary

Design and develop ML solutions for Netflix’s Promotional Assets & Creative Technology team, defining algorithmic strategies that improve how titles are promoted and discovered. Own end-to-end ML development (research, training, evaluation) and run rigorous experiments with strong statistical validation. Collaborate with engineers and stakeholders to integrate models into business platforms, advance NLP generation and LLM post-training approaches, and continually track field progress to enhance member experiences.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design rigorous experiments to test hypotheses and draw statistically sound conclusions.
  • •Translate complex technical concepts for technical and non-technical stakeholders to guide strategic decisions.
  • •Lead end-to-end ML development, including research, model training, and evaluation.
  • •Partner with ML scientists and engineers to integrate models into business applications and platforms.
  • •Serve as an SME to identify high-impact opportunities, define roadmaps, and improve promotional writing experiences for members.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityPaid LeaveFamily Benefits

Key Requirements

  • •Track record designing, running, and analyzing rigorous experiments with statistical validation.
  • •Strong ML and deep learning foundation, especially in NLP for understanding and generation; summarization or generated-text evaluation experience is a plus.
  • •Expertise in one or more LLM post-training approaches.
  • •Strong programming skills in Python with ML/DL frameworks such as PyTorch or TensorFlow.
  • •PhD (preferred) or MSc in ML, Computer Science, or a related field.
Education:PhD / Doctorate in Machine Learning, Computer Science, or a related field
Skills:CommunicationCollaborationOwnershipComfortable with ambiguityStakeholder communication
Tech Stack:PythonPyTorchTensorFlowNLPDeep LearningLLMLLM post-trainingDiffusion modelsStatistical validation

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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