Machine Learning/AI Infrastructure Engineering Intern (AI Platform) PhD, Winter 2027
Core
Building infrastructure for Netflix's ML and AI systems, including large-scale training platforms, post-training/offline infrastructure, and GPU-optimized inference and serving.
Role type
PhD research intern in ML/AI infrastructure
Builds
Large-scale training platforms, post-training/offline infrastructure, GPU-optimized inference and serving systems
Domain
Streaming entertainment, distributed systems, machine learning infrastructure
Deliverable
infrastructure
Required skills
Distributed systems, distributed training/serving infrastructure, ML training platforms, inference and serving optimization, GPU-optimized inference, model–system codesign, Python, systems languages (Go, C++, Rust), distributed compute frameworks (Ray, Kubernetes, Spark)
Preferred skills
Publications in systems-track venues (OSDI, SOSP, NSDI) or applied ML venues, prior industry or internship experience in ML infrastructure
Technologies
Ray, Kubernetes, Spark, Python, Go, C++, Rust
Responsibilities
Design and build infrastructure for ML training and inference at Netflix scale, collaborate with modeling teams on model–system codesign
Seniority
Intern, research-focused