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Research Scientist Intern - Neural Representations Compression

Redmond, WA · Internship · Posted Oct 27, 2026

Education
Currently has, or is in the process of obtaining, a PhD degree in the listed or related field.

About the job

Research neural representation compression and streaming methods for split-inference systems, build and benchmark prototypes, and communicate research results.

What you'll do

  • Explore processing, compression, and streaming of neural or learned representations; identify opportunities to improve compression efficiency or quality.
  • Collaborate with peers to build a prototype algorithm.
  • Communicate research progress and final results.

What they ask for

  • Currently pursuing or obtaining a PhD in Image and Video Processing, Signal Processing, Information Theory, Machine Learning, Computer Graphics, or a related field.
  • Coding experience in C/C++ and/or Python, plus experience in image and video processing.
  • Track record of significant results, such as grants, fellowships, patents, or first-authored publications at leading workshops or conferences.
  • Intent to return to a degree program after the internship or co-op.

Nice to have

  • Knowledge of neural network and compression applications, image/video codec standards (H.26x, VPx, JPEG, etc.), MPEG PCC, or learning-based compression.

Pay

$7,650/month to $12,667/month

Tools

C/C++, Python, H.26x, VPx, JPEG, MPEG PCC

AI focus

Develop compression methods for neural representations, including latent vectors and Gaussian splats, to improve compression ratio, speed, and fidelity in split-inference AI and AR/VR systems.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)