Drimva

Sony

Sr. Research Engineer – AI/ML Image Processing & Computational Photography

$150K–$165K

San Jose · Senior · Full-time · Posted Sep 16, 2026

Experience
3+ years of related experience may be considered for exceptional candidates with an MS; no years specified for the PhD route.
Education
PhD in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or related field. Exceptional candidates with an MS and 3+ years of related experience may be considered.

About the job

Researches and develops AI/ML image-processing, computational-photography, and computer-vision algorithms from initial research through integration into Sony digital imaging products.

What you'll do

  • Design, prototype, evaluate, benchmark, and improve algorithms and models for digital imaging.
  • Document and communicate research findings, review emerging work, and draft invention disclosures and technical articles.
  • Collaborate with product and engineering teams; occasionally travel to Japan for meetings.

What they ask for

  • PhD in Computer Science, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, or a related field; exceptional candidates with an MS and 3+ years of related experience may be considered.
  • Practical experience developing deep learning, machine learning, and/or AI algorithms from the ground up.
  • Demonstrated experience in image/video processing, camera ISP, computational photography, low-level computer vision, or computer vision.
  • Research record including peer-reviewed publications; proficiency in Python and PyTorch or a similar ML framework.

Nice to have

  • Strong fundamentals in signal processing and statistical modeling.
  • Familiarity with C/C++ and Linux.

Pay

USD 150,000 to USD 165,000 annual base salary; 10% annual bonus target (not stated as a total-pay range)

Tools

Python, PyTorch, C/C++, Linux

AI focus

Develops AI/ML methods and algorithms for image processing, computational photography, and computer vision in Sony digital imaging products, including dataset design, neural-network architecture development, model training, and evaluation.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)