Researcher – Machine Learning & Computer Vision

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.