Worth applyingNetflix · Los Gatos,California,United States of America

Software Engineer PhD Intern, Streaming Algorithms (Summer 2026)

Skills and tasks

Suggested skills

  • Adaptive Bitrate (ABR) & Congestion Control Protocols
  • Large-Scale A/B Field Experimentation
  • Video Encoding and QoE Telemetry

Skill-to-task connections are not available yet.

Tasks from the posting

  • design adaptive streaming algorithms

    You + AI

  • optimize system performance

    You + AI

  • evolve system architecture

    Your edge

  • conduct controlled field experiments

    Your edge

  • apply statistics and experimentation

    You + AI

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More analysis and source details
30%
of this job is already automatable.
70% is classified as human or shared work.
0 AI does it3 You + AI2 Your edgeof 5 duties

Your edge · 3 things

  • Designing novel adaptive bitrate and congestion control algorithms tailored to variable network infrastructure.
  • Authorizing and running controlled field experiments on production traffic serving millions of concurrent viewers.
  • Navigating system architecture trade-offs across cross-functional teams including CDN, Encoding, and UI Engineering.
The fieldgrowing · unlikely

Massive global scale live-streaming events like NFL broadcasts require specialized low-latency algorithms that push physical internet infrastructure to its limits. Streaming providers face continuous traffic expansion that forces ongoing architectural iteration.

Do this week

  1. Adaptive Bitrate (ABR) & Congestion Control ProtocolsDirectly drives core algorithm design capabilities required for live, low-latency streaming positions.
  2. Large-Scale A/B Field ExperimentationDifferentiates theoretical research from industrial engineering by proving algorithm safety on real device populations.
  3. CursorWriting data parsing and trace processing scripts for network performance analysis.

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