AI & RL Research Intern: Energy-Efficient Video Streaming

InterDigital CE Patent Holdings, SAS; Rennes; On-site; EUR 10,000 - 17,000; Full time

Job summary

InterDigital invites interns to explore energy-efficient adaptive video streaming using reinforcement learning. The project spans from encoding and bitrate ladder generation to Multi-CDN delivery, with client-side ABR, decoding, and display considerations. MARL coordination may be explored for cross-agent optimization.

The position emphasizes energy-aware decision-making, QoE, and potential patentable outcomes, with mentorship from named researchers. Rennes, France-based internship.

Qualifications

• Master 2 or final year of engineering school; deep learning and reinforcement learning knowledge required.
• Adaptive streaming and video coding knowledge appreciated.
• Proficiency in Python, C/C++, JavaScript.

Responsibilities

• Duration: 5 to 6 months, with a start between January and April 2027 or September 2027.
• Conduct a state-of-the-art review of RL approaches for energy-efficient streaming.
• Set up the experimental environment, implement and document AI-based technologies and solutions.
• Evaluate performance, analyze results, and report key findings; contribute to a conference paper.

Skills

Python

C/C++

JavaScript

Reinforcement learning

Education

Master 2 / Engineering school

Tools

OpenAI Codex

Claude Code

DL frameworks

Job description

InterDigital invites interns to explore energy-efficient adaptive video streaming using reinforcement learning. The project spans from encoding and bitrate ladder generation to Multi-CDN delivery, with client-side ABR, decoding, and display considerations. MARL coordination may be explored for cross-agent optimization.

The position emphasizes energy-aware decision-making, QoE, and potential patentable outcomes, with mentorship from named researchers. Rennes, France-based internship.