Sr. Computer Vision Engineer, Remote (Based in Israel)

We’re looking for an experienced Computer Vision Engineer to join our team and help transform the future of logistics and the global trade industry through X-RAY imaging perspective. We're looking for individuals who are driven to tackle state-of-the-art technological obstacles, have a team-player mindset with strong analytical thinking and a drive to build systems that matter. As part of our team, you will contribute to developing AI-driven software that revolutionizes customs control processes, significantly speeding up cargo x-ray inspections, and improving fraud detection.Job DescriptionResearch, design and development of deep learning models for self-supervised and contrastive learning tasks using SOTA algorithms for X-ray imagingHands-on experience working with Large Language Models (LLMs), evaluation, and deploymentDevelopment of fusion algorithms for multiple data sources (visual, textual, and numerical data)Cross-functional collaboration with software engineers & domain expertsRemote with 1 day in-officeA day in the lifeTackle complex, real-world customs inspection challenges where no “off-the-shelf” solutions existDesign, develop and improve AI systems that accelerate cargo x-ray inspection and uncover fraudulent trade activities—fusing vision, NLP, and structured dataResearch, implement, and evaluate deep learning models for self-supervised learning, contrastive representation learning, and uncertainty quantificationDevelop fusion algorithms across multi-modal inputs: X-ray images, scanned documents, textual declarations, and structured numerical dataWork with large-scale international customs datasets and annotated X-ray scansContribute high-quality, production-ready code and partner with engineering teams to deploy research outcomes into live operational systemsMake informed technical tradeoffs across model performance, data constraints, scalability, integration requirements, and production readinessYou bring to the tableTrack record of working on production-grade computer visionAdvantage: work experience with NLP-based systemsHands-on expertise with PyTorch and Python\'s scientific stack (NumPy, Pandas, etc.)Experience with distributed training techniques and handling large-scale datasetsStrong background in multi-modal AI, including fusion of visual, textual, and numeric dataSolid understanding of uncertainty modeling and quantification in AI systemsExcellent coding practices, with a passion for clean, well-structured, and maintainable codeA strong technical foundation, deep curiosity for your field, and an ownership-oriented mindset. You are a collaborative team player who can independently advance complex technical work, challenge assumptions, bring thoughtful ideas to the table, and apply sound engineering judgment to deliver high-quality solutionsExperience & Education5+ years of industry experience building and shipping deep learning systems, with a strong focus on computer visionB.Sc. or M.Sc. in Electrical Engineering or Computer Science, or equivalent STEM field.Nice to haveExperience with AWS/GCP, Docker & Kubernetes, customs/logistics applications, or multi-view visual reasoning