Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Researcher
Proficient in Deep Learning, Computer Vision, and Video Processing, with extensive hands-on experience in developing and optimizing AI-driven models for real-time production. I have designed and implemented algorithms in multi-view scene reconstruction and monocular depth estimation, leveraging foundational models. Skilled in developing and deploying state-of-the-art (SOTA) algorithms for high-fidelity performance across various platforms. Additionally, I have expertise in camera calibration, signal processing, and classical computer vision. Passionate about cutting-edge advancements, with special interests in Generative AI and Diffusion Models.
Technion - Israel Institute of Technology
Master of Science (M.Sc.), Electrical, Electronics and Communications Engineering, machine Learning and Neural Networks
January 1, 2013 – January 1, 2015
Technion - Israel Institute of Technology
Bachelor of Science (BSc), Electrical, Electronics and Communications Engineering, Electrical and Electronics Engineering
January 1, 2008 – January 1, 2013
Samsung Semiconductor
Machine Learning Researcher
March 1, 2025 – Present
Tel Aviv District, Israel · Hybrid
Apple
Algorithm Engineer
February 1, 2019 – February 1, 2025
BrightWay Vision Ltd.
Deep Learning Engineer
August 1, 2017 – February 1, 2019
Haifa Area, Israel
Presenso
Machine Learning Engineer
July 1, 2016 – July 1, 2017
Haifa, Haifa District, Israel
Rafael Advanced Defense Systems
Software Engineer
November 1, 2013 – July 1, 2016
haifa
ImageViewer
January 1, 2026 – Present
ImageViewer is a powerful, cross-platform desktop application for viewing and analyzing scientific and standard image formats. Built with Python and PyQt6, it provides a fluid, multi-window interface packed with features designed for in-depth image comparison and analysis.
Cultural Fit Analysis
The candidate has worked in various high-tech companies (Samsung, Apple, BrightWay Vision, Presenso, Rafael), indicating adaptability to different corporate cultures. The focus on cutting-edge technologies like ToF sensors, computer vision, and LLMs suggests a proactive and innovative mindset. The personal project 'ImageViewer' demonstrates self-driven learning and application of skills outside of work, which is a positive indicator for cultural fit in a dynamic R&D environment. The breadth of experience from embedded systems to distributed clusters shows a versatile technical background.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest a strong focus on technical execution and problem-solving. While direct evidence of soft skills like teamwork or leadership is limited in the provided data, the progression through senior technical roles implies an ability to operate effectively within complex engineering environments. The description of leading work on LLMs at Apple suggests initiative and project ownership.