Position Summary

Samsung Research Israel (SRIL), part of Samsung Electronics (SET), operates at the forefront of technological innovation through its two main hubs: Advanced R&D & Open Innovation. These departments focus on developing cutting-edge technologies to shape the future of Samsung Electronics.
SRIL actively collaborates with Israeli high-tech companies and academic institutions to integrate cutting-edge solutions into Samsung’s products, while also developing innovative technologies in-house. We lead advanced research in artificial intelligence, optics, and machine learning, aiming to deliver world-class technology with a global impact.

Role and Responsibilities

Position Overview

We are seeking a PhD student or early-career researcher with hands-on experience in machine learning, computer vision, and deep learning to join our R&D group.
This role combines academic-level research with industrial application, contributing to next-generation image understanding, enhancement, and generative AI solutions for advanced camera systems.

Key Responsibilities

• Conduct research and development of ML/DL algorithms for computer vision tasks such as image enhancement, object detection, segmentation, and scene understanding.

• Develop and evaluate generative AI and diffusion models for imaging and photo synthesis.

• Design and implement prototypes and experiments for algorithm validation and performance optimization.

• Support data collection, preparation, model training, and performance analysis on large-scale image and video datasets.

• Stay current with state-of-the-art ML, CV, and AI literature, proposing innovative approaches relevant to Samsung’s R&D roadmap.

• Document & present research outcomes internally and in global collaboration meetings.

Skills and Qualifications

Requirements:

• PhD (or advanced PhD stage) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.

• 2–5 years of relevant experience in machine learning, computer vision, or AI research, either in academia or industry.

• Strong theoretical and practical knowledge of deep learning architectures (CNNs, transformers, diffusion, or generative models).

• Experience with image and video datasets, performance evaluation, and optimization of ML models.

• Analytical mindset and ability to conduct experimental research independently.

• Excellent communication and collaboration skills in a multidisciplinary R&D environment.

Preferred:

• Experience developing ML models for camera systems, photo enhancement, or imaging applications.

• Familiarity with large language models (LLMs) or multimodal learning.

Our Offering

• A chance to work on cutting-edge AI and computer vision technologies that directly influence Samsung’s products worldwide.

• Exposure to world-class researchers and engineers in a collaborative, innovation-driven environment.

• Access to advanced computing resources and imaging labs.

• Flexible engagement suited to a PhD student or postdoctoral researcher.

• Mentorship, professional growth, and the opportunity to contribute to high-impact global R&D projects.

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