Computer Vision Algorithm Engineer

TechSee · herzliya

About TechSee TechSee is pioneering the future of customer service through Visual and Spatial AI. While most AI understands language, TechSee enables AI to understand the physical world. By combining computer vision, spatial intelligence, conversational AI, and augmented reality, TechSee empowers enterprises to diagnose issues, guide customers, and automate complex service interactions with unprecedented accuracy. Trusted by leading global brands including Google, Verizon, ADT, and DirectTV, TechSee helps millions of customers resolve issues faster while reducing operational costs and transforming the customer service experience. Backed by Salesforce Ventures and Scale Venture Partners, TechSee is building the intelligence layer for the next generation of autonomous physical world customer service. The opportunity: We are looking for an Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role, you will design, develop, and optimize state-of-the-art vision-based algorithms that power our AI-driven solutions. You will work with large-scale real-world data, contribute to cutting-edge research, and play a key role in bringing advanced AI capabilities to millions of users worldwide. Key Responsibilities: Design, develop, and optimize Computer Vision and Deep Learning algorithms for real-time AI-driven applications. Work with large-scale visual datasets to train, test, and validate models. Research and implement state-of-the-art machine learning techniques, including object detection, image segmentation, scene recognition, and 3D processing. Enhance the efficiency, accuracy, and robustness of existing vision-based models. Collaborate with software engineers, data scientists, and product teams to integrate algorithms into TechSee’s AI-powered platform. Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models. Qualifications: 2+ years of industry experience in Computer Vision. Experience training and evaluating Deep Learning models. Hands-on experience with image processing, object detection, segmentation, classification or tracking. Familiarity with OpenCV. Experience integrating algorithms or trained models into production. Experience training, evaluating, and optimizing models using real-world visual data. B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field. Advantages Familiarity with AWS, Docker, MLOps, or model-serving infrastructure. Experience with 3D reconstruction, geometry, camera calibration, or SLAM. Experience with mobile algorithm development. Why Work With Us? Real-World Spatial AI at Scale: We deploy multimodal Computer Vision that sees, diagnoses, and solves real physical problems in real time for Fortune 2000 enterprises. Your work will directly impact millions of consumers solving real-world problems in real time Greenfield Architecture & Tech Autonomy: Enjoy true technical agency. Choose the right tools, set modern architectural patterns, and build high-performance visual AI infrastructure from the ground up. Proven Impact & Strong Backing: Work alongside a collaborative AI team with a proven track record of deploying Practical AI that delivers measurable ROI, backed by leading global VCs. Hybrid, People-First Culture: Enjoy true ownership over your work with a flexible hybrid model (Herzliya office + remote flexibility), competitive compensation, and a collaborative, supportive environment.

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