Machine Learning/AI Infrastructure Engineering Intern (AI Platform) PhD, Winter 2027

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

Build and optimize the AI Platform infrastructure that powers Netflix’s machine learning and AI systems, from large-scale training and post-training/offline infrastructure to GPU-optimized inference and serving. Work closely with modeling teams on model–system codesign, applying distributed systems concepts to infrastructure at Netflix scale. This PhD internship is 12 weeks, starts in early January 2027, and is based in Los Gatos with remote candidates considered.

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FursaFursa
Netflix
Netflix
1 week ago

Machine Learning/AI Infrastructure Engineering Intern (AI Platform) PhD, Winter 2027

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 20 hours agoStatus: Live

Job Summary

Build and optimize the AI Platform infrastructure that powers Netflix’s machine learning and AI systems, from large-scale training and post-training/offline infrastructure to GPU-optimized inference and serving. Work closely with modeling teams on model–system codesign, applying distributed systems concepts to infrastructure at Netflix scale. This PhD internship is 12 weeks, starts in early January 2027, and is based in Los Gatos with remote candidates considered.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Work on AI Platform infrastructure used by Netflix ML/AI systems, covering training, post-training/offline, and inference/serving.
  • •Collaborate in model–system codesign with modeling teams to co-develop infrastructure and models.
  • •Apply distributed systems approaches to build scalable infrastructure at Netflix scale.
  • •Optimize inference and serving performance, including GPU-optimized inference.
  • •Contribute to solving open-ended infrastructure challenges and communicate results clearly.

Pay and Benefits

Salary: USD 40 - 85 hourly
Perks:Health Insurance401kEquityDisabilityPaid Leave

Key Requirements

  • •Currently enrolled student pursuing a PhD in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering, or a related field.
  • •Research or applied experience with distributed systems, including distributed training/serving infrastructure.
  • •Experience with ML training platforms, post-training or offline infrastructure, and inference/serving optimization (including GPU-optimized inference).
  • •Proficiency in Python; experience with systems languages (Go, C++, or Rust) is a strong plus.
  • •Familiarity with distributed compute frameworks (e.g., Ray, Kubernetes, Spark) and ML training/serving stacks.
Experience:Distributed systemsMachine learningAI infrastructure
Education:PhD / Doctorate in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering (or related field)
Skills:CuriositySelf-motivationWritten communicationVerbal communication
Tech Stack:PythonGoC++RustRayKubernetesSparkGPU

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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