R&D Intern – AI Computational Photography & Computer Vision

POSITION SUMMARY

Sony Corporation of America (SCA) is seeking an R&D Intern for the US R&D Laboratory in Culver City, CA. In this role, you will collaborate within a team of specialized researchers on novel and technically challenging problems at the intersection of computational photography, machine learning, and mathematical optimization. With guidance from leaders in the field, you will propose, implement and evaluate novel computational photography and/or machine learning algorithms that contribute to the advancement of Sony’s portfolio of digital imaging technologies and products. This internship offers hands-on experience researching real-world problems related to digital photography, applying strong fundamentals in computer vision and image processing, and using quantitative methods to evaluate and improve performance.

This position will be in-person or hybrid (3 days in-person) in Culver City, CA.

JOB RESPONSIBILITIES

• Researching and implementing algorithms that extend the state of the art in computational photography, computer vision, machine learning, and/or image processing related to Sony’s digital imaging business
• Clearly documenting experimental processes and findings. Creating code and reports, and delivering them to team members in a timely fashion
• Meeting and collaborating with team members on a regular basis
• Drafting and submitting findings to a technical conference or patent application, as required

QUALIFICATIONS FOR POSITION

Your qualifications and experience should include:

• Must be currently enrolled in a PhD or Master program in a relevant field (CS, CE, EE, Physics, Math, etc.)
• Strong understanding of Computer Vision, Machine Learning, and Image Processing.
• Excellent fundamentals of mathematical modeling and probabilistic analysis
• Previous research experience in one of the following areas: Computational Photography, Computer Vision, Image or Signal Processing. Experience with Gaussian Splatting or implicit neural representation is a plus.
• Excellent programming skills in Python, and comfortable with machine learning libraries such as PyTorch or Tensorflow
• Strong communication and presentation skills, and a strong research track record