Description

At Sony Semiconductor Israel, we develop advanced wireless and IoT solutions that connect millions of devices worldwide. As part of our Deep Learning department, you'll work with a dynamic team developing cutting-edge AI solutions that integrate with Sony's world-leading image sensors and the AITRIOS smart-camera platform. You'll contribute to technologies that push boundaries in edge AI implementation, helping to set new industry standards. What makes us different is how we work together:

Our engineers own significant parts of each project, becoming true experts in their fields. You'll work directly with your team from initial concept through final delivery, seeing the real impact of your work.

We maintain a flat organization where ideas flow freely between engineers and leadership. Our experienced team members actively mentor newer colleagues, creating an environment where everyone can learn and grow.

We're proud that our employees choose to build long-term careers with us. Many of our team members have been with the company for years, contributing to a stable, knowledgeable workplace where collaboration comes naturally.

Based in Israel's Sharon region, we offer a convenient shuttle service from Tel Aviv. We understand the importance of work-life balance and want to make it easy for you to have time for everything you want to do.

The DNN Group

The DNN group is a dynamic and innovative team developing solutions for the development, optimization and deployment of AI (DNN)-based applications. We deal with a wide range of activities and technologies, bound tightly together to form our cutting-edge solutions, integrated with Sony's world-leading image sensor products, and the AITRIOS smart-camera platform. Our vision is to continuously push the boundaries of technology and setting the bar for advanced edge AI (DNN) solutions.

Computer Vision Researcher

We are seeking a highly motivated individual to join our team as a Computer Vision and Machine Learning Researcher. The research team is focused on conducting scientific innovative research for publication on a variety of fundamental AI challenges in vision, as well as serving as an AI knowledge center for the organization. The areas of research include, but are not limited to, inverse problems, watermarking, raw images, domain adaptation, transfer learning and multi-task learning. 

The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, with a passion for research and a desire to be a knowledge center for the organization. The primary responsibility of this role is to conduct cutting-edge research in computer vision and machine learning, with a focus on producing high-quality academic publications. The candidate will be expected to lead his research as well as collaborate with other researchers in the team. 

What you will be doing

Responsibilities

• Conduct advanced and creative research in computer vision and machine learning to address challenges in different application areas 
• Collaborate on exploring research directions that align with product vision and have the potential to enhance its development and integration  
• Publish research work in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML 
• Collaborate with other research scientists to brainstorm ideas 
• Attend relevant conferences and workshops to present research findings and stay up-to-date with the latest trends in the field 

Requirements

• PhD in Computer Science or a related field with focus on computer vision and deep learning 
• Completion of post-doctoral fellowship - advantage 
• Publications in top-tier computer vision and /or machine learning conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML 
• Knowledge and expertise with deep learning applications for vision 
• 4+ years hands-on experience in computer vision and deep learning 
• Experience with Python and machine learning frameworks such as PyTorch and Tensorflow 
• Highly innovative and independent with strong teamwork skills 
• Proven track record of achieving significant results and innovation as demonstrated by first-authored publications