Software Engineer- MLE Team

About the rule-We’re seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.

About Shopic- Shopic is an AI RetailTech startup specializing in retail solutions and shopping experiences. Our technology turns shopping experiences to an AI vision based technology.

Our core products include SmartCart, which enables shoppers to grab products and bypass checkout lines and ShopWatch, a sophisticated computer vision and data analytics tool designed to monitor and reduce "shrink" (loss/theft) at Self-Checkout (SCO) stations.

Powered by computer vision and data analytics, ShopWatch will soon be deployed in important retailers. We are currently expanding our ShopWatch footprint with major retailers in Chile and are seeking professional, customer-facing technical experts to join our growing team.

Our headquarters are located in Tel Aviv, where we operate on a four-day in-office work model. Our solutions are implemented by leading grocery chains globally, and we are proud to work with some of the most talented professionals in the AI industry.

Responsabilities:

• Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
• Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
• Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
• Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
• Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
• Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
• Promote and strengthen the team’s engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.
  
  

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field from a recognized university.
• Over 3 years of practical experience in software engineering, with a focus on building and maintaining production-level software
• Hands-on experience with computer vision or deep learning models, with a focus on runtime and memory optimization
• Extensive experience in Python, with an emphasis on writing high-quality, maintainable code.
• Ability to effectively manage multiple tasks and priorities in a dynamic, fast-paced setting.
• Strong communication skills, excellent teamwork, and the ability to collaborate across multidisciplinary teams.
• Self-driven, fast learner, and highly motivated to tackle new challenges.
  
  

• Knowledge of edge device development, including operating system internals, security best practices, and hardware-software integration.
• Familiarity with distributed systems or large-scale ML infrastructure is a plus.
• Strong programming skills in C++
• Experience working in Unix-based environments.