Mashgin
Jobs at Mashgin
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As a Technical Support representative, you will troubleshoot and resolve customer issues with Mashgin's products while providing exceptional service.
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Full‑stack developer responsible for end‑to‑end feature development for kiosk software and backend infrastructure. Work spans web stacks, hardware interfaces, and visual components, owning projects from design and prototyping through production, maintenance, and scaling. Collaborate with interdisciplinary hardware, software, and design teams and deliver reliable, production‑quality code.
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Build and maintain full-stack software for kiosks and backend infrastructure. Own end-to-end feature development, interface with hardware and visual components, ensure production reliability, and collaborate with interdisciplinary hardware, software, and design teams.
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Design and implement computer-vision algorithms and scalable, production-ready C/C++ and Python systems for real-time, multi-camera edge devices. Train and maintain deep neural networks, collect large-scale data, debug deployed kiosk vision systems, and collaborate with hardware, software, and design teams to build and improve products.
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As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.
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Design and own backend systems for AdTech-enabled checkout, build scalable cloud training infrastructure, rethink codebases for scale, deploy and maintain production services, and lead end-to-end feature development across languages and teams.
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Build and maintain integrations between Mashgin kiosks and customer backends, payment systems, POS, and enterprise apps. Develop software spanning firmware to cloud services, debug across hardware and software stacks, and work directly with customers to deploy and troubleshoot integrations.
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As a Software Engineer, you will build backend infrastructure for Mashgin’s self-checkout kiosks, focusing on scalable cloud solutions and code optimization.
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Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.
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Develop and implement computer vision algorithms, create data collection methods for deep learning, and enhance existing algorithms within a dynamic team setting.
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The role involves developing and maintaining software for kiosks, collaborating on product development, and improving existing codebases. Responsibilities include feature development and building new software for enhanced user experience.
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Develop software for kiosks, owning feature development, working full stack, and improving existing code while collaborating with a multi-disciplinary team.
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Build a 0-to-1 video ingestion pipeline for in-store overhead/security cameras: capture, encode, transport, and store or process video across constrained networks and varied hardware. Make codec and streaming protocol decisions, implement edge and cloud components, deliver first end-to-end features, and debug real-world store conditions alongside hardware, ML, and backend engineers.
