Market range: $25ph - $110ph; total compensation b...
On-site
Early-stage phd student status
Background in computer networking
Experience with network measurement or congestion control
Netflix is seeking an early-stage PhD intern for its Streaming Algorithms team, focusing on enhancing the scalability and quality of live streaming systems. The role is geared towards individuals with a background in computer networking and algorithms, aiming to contribute to real-world research impacts in a collaborative environment
Job Summary
The role involves evolving Netflix's Live streaming systems to support more concurrent streams with improved quality and lower latency.
Interns will work cross-functionally with teams including CDN, Encoding Technologies, Data Science, and UI Engineering to design adaptive algorithms.
This is a 12-week full-time internship located in Los Gatos, California, offering a personalized experience mimicking actual employment.
Matching Summary
Match Score: 85
Netflix is seeking an early-stage PhD intern for its Streaming Algorithms team, focusing on enhancing the scalability and quality of live streaming systems. The role is geared towards individuals with a background in computer networking and algorithms, aiming to contribute to real-world research impacts in a collaborative environment.
Salary
Market range: $25/hour - $110/hour; Total compensation based on team, degree, and education; Top of market determined by indicators
Skills & Requirements
Must-have
Early-stage PhD student status
Background in computer networking
Experience with network measurement or congestion control
Interest in live streaming technologies
Nice-to-have
Experience applying statistics and experimentation
Prior experience with video encoding technologies
Bias to action and willingness to take smart risks
Interdisciplinary research background
Key Requirements
Currently enrolled as an early-stage PhD student
Thesis topic aligned with Live QoE and scalability if later-stage
No specific work authorization requirements mentioned