Machine Learning/AI Scientist PhD Intern, Winter 2027

Netflix
United States
Workplace: OnsiteFull timeUSD 40 - 85 hourlyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Written communication","Verbal communication","Self-motivation","Curiosity"]

Conduct applied machine learning research to improve Netflix personalization, member/title understanding, creative tooling, and system optimization. Work across areas such as recommender systems, NLP, computer vision, causal ML, agentic AI, multimodal modeling, and model efficiency. Build and evaluate ML models using Python and common frameworks (PyTorch, TensorFlow, JAX), including GPU and distributed training. Collaborate within embedded research groups at the Los Gatos headquarters.

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FursaFursa
Netflix
Netflix
1 week ago

Machine Learning/AI Scientist PhD Intern, Winter 2027

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Last checked: 17 hours agoStatus: Live

Job Summary

Conduct applied machine learning research to improve Netflix personalization, member/title understanding, creative tooling, and system optimization. Work across areas such as recommender systems, NLP, computer vision, causal ML, agentic AI, multimodal modeling, and model efficiency. Build and evaluate ML models using Python and common frameworks (PyTorch, TensorFlow, JAX), including GPU and distributed training. Collaborate within embedded research groups at the Los Gatos headquarters.
Location: United States
Workplace: Onsite
Employment Type: Full time · 3 months
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Participate in Netflix ML research projects matched to interests and skills.
  • •Apply machine learning methods across areas including personalization, NLP, computer vision, causal ML, agentic AI, multimodal data, and optimization/efficiency.
  • •Develop and evaluate ML models using training/inference pipelines and common frameworks.
  • •Contribute to research that emphasizes robust ML infrastructure and explainability.
  • •Work onsite for 40 hours per week in Los Gatos as part of the Winter 2027 internship program.

Pay and Benefits

Salary: USD 40 - 85 hourly
Perks:Health Insurance401kEquityDisability ProgramsPaid Leave

Key Requirements

  • •Currently enrolled PhD student (2nd–4th year preferred) in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science, or a related field.
  • •Available to work onsite 40 hours per week in Los Gatos.
  • •Domain expertise in one or more areas such as personalization & recommender systems, NLP, computer vision, causal ML, agentic AI, multimodal data, or model optimization/efficiency.
  • •Experience programming in at least one language (Python, Java, Scala, or C/C++).
  • •Familiarity with ML frameworks (PyTorch, TensorFlow, JAX), training on GPUs, and end-to-end ML pipelines (training or production deployment).
Experience:Machine learningArtificial intelligenceRecommender systemsNatural language processingComputer visionCausal MLAgentic AIMultimodal learningDistributed training
Education:Master's in PhD (Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science, or related field)
Skills:Written communicationVerbal communicationSelf-motivationCuriosity
Tech Stack:PythonJavaScalaC/C++PyTorchTensorFlowJAXDDPFSDPHSDPDeepSpeedGPUsTransformersLLMs

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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