Note: The job is a remote job and is open to candidates in USA. Netflix is an entertainment services company that develops technology to deliver TV series, films, and games globally. The AI Platform team builds infrastructure for Netflix’s machine learning and artificial intelligence systems, including large-scale training, offline infrastructure, and GPU-optimized inference and serving. The intern will work at the intersection of systems and machine learning on infrastructure co-designed with modeling teams.
Responsibilities
- 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
Skills
- 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
- Publications or strong research alignment with systems-track venues (OSDI, SOSP, NSDI) or applied ML venues
- Prior industry or internship experience in ML infrastructure
Benefits
- Health Plans
- Mental Health support
- A 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
- Location is flexible for this team, with remote candidates considered.
Company Overview
Company H1B Sponsorship