Research Intern - Privacy-preserving deep generative models

Machine Learning, Computer Vision

Internship

Location flexible (Tokyo, Europe, US)

General Information

Sony AI’s Privacy Preserving Machine Learning (PPML) team is looking for smart and talented researcher interns with expertise in deep generative models and privacy-preserving machine learning techniques. The internship requires a minimum of 3-months duration. During the internship you will work on cutting edge deep generative models in computer vision, harnessing their potential to advance the state-of-the-art in computer vision in PPML team’s flagship project. You will see your ideas not only published in papers, but also improve the experience of millions of users of Sony.

Roles and Responsibilities

As a research intern, you will conduct novel and advanced research with members of the PPML team. You are expected to be self-motivated and have the ability to conduct and implement innovative ideas and have the drive to advance internal collaborations and overall success of the team.

Required Qualifications

• Masters degree in CS, EE, applied mathematics, or a related field.
• Strong background in deep learning and machine learning.
• Experience with deep learning development tools (PyTorch, TensorFlow, JAX).
• Previous research experience demonstrated by high impact projects or publications at key machine learning and computer vision conferences (NeurIPS, ICLR, ICML, CVPR, ICCV, etc).
• Experience in working with large-scale deep neural networks, i.e., training and evaluation methodologies.
• Strong command of the Python programming language.

Preferred Qualifications

• Relevant experience in deep generative models and privacy preserving machine learning during Masters or PhD studies.
• Experience in training and evaluating large scale deep generative models, such as diffusion models.
• Strong understanding of diverse vision tasks, such as classification, segmentation, detection.

Working Location

Location flexible (Tokyo, Europe, US)