[Hiring] Machine Learning/AI Infrastructure Engineering Intern @Netflix

Role Description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

The AI Platform team builds the infrastructure that Netflix's ML and AI systems run on, from large-scale training platforms and post-training/offline infrastructure to GPU-optimized inference and serving.

You'll work on infrastructure that's closely co-designed with modeling teams (model–system codesign), so this role suits PhD researchers who enjoy working at the intersection of systems and ML rather than pure modeling.

Qualifications

• 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 in one or more of the following:
  • Distributed systems, distributed training/serving infrastructure
  • ML training platforms, post-training or offline infrastructure
  • Inference and serving optimization, GPU-optimized inference
  • Model–system codesign
• 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
• Curious, self-motivated, and excited about solving open-ended infrastructure challenges at Netflix scale
• Strong written and verbal communication skills

Requirements

• 12-week minimum internship with a start date early January 2027
• Based at our Los Gatos, CA headquarters, may be open to remote candidates
• Intended for students returning to school for at least one semester/quarter after the internship; conversion/return offers are based on business need and headcount, and are not guaranteed

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
• Full-time salaried employees are immediately entitled to flexible time off