Overview

Boost inc is seeking a Computer Vision Engineer to join our team. You will design and implement computer vision models that recognise, classify, and track products and behaviour, leveraging edge computing and cloud-based tools. Your work will directly impact how customers and retailers interact with products, improving accuracy, automation, and efficiency.

What You'll Do

• Design, train, and optimise computer vision and deep learning models for product recognition, detection, and tracking.
• Develop robust pipelines for image preprocessing, data augmentation, and annotation at scale.
• Build and deploy models for real-time inference on edge devices as well as scalable cloud services.
• Optimise models for latency, memory efficiency, and throughput in production environments.
• Collaborate closely with cross-functional teams (backend engineers, product managers, UX/UI) to integrate solutions into customer-facing applications.
• Evaluate and benchmark models against datasets that capture the complexity of real-world retail scenarios (e.g., varying lighting, occlusion, packaging changes).
• Stay current with advancements in computer vision research and explore how they can be leveraged and applied to product identification challenges.

What You'll Bring

• 5+ years of hands-on experience in computer vision (or a combination of computer vision and deep learning).
• Strong proficiency with Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Demonstrated experience deploying models for edge inference (e.g., TensorRT, ONNX, quantization, pruning).
• Ability to integrate with vendor model types and toolchains (e.g., RKNN).
• Strong problem-solving skills and ability to work with messy, real-world data.
• Experience with AWS cloud services (preferred).
• Knowledge of MLOps practices, including deployment, monitoring, and model lifecycle management (preferred).
• Experience with camera sensors, color spaces, and image acquisition challenges (noise, lens distortion, exposure), as well as camera calibration and geometric transformations (preferred).

Why Join Us

• Competitive compensation with private healthcare.
• Global impact: shape the future of unattended retail technology across the globe.
• Growth opportunities: fast-growing team, mentor juniors and learn new technologies.
• Collaborative culture: small, passionate teams, open to new ideas and tech experimentation.
• Offices in Zurich, London, and four other countries.
• Benefits for personal development, well-being, and some swag.

About Us

Boost inc is a global leader in unattended retail technology, redefining traditional vending by transforming it into modern, digital retail experiences. Headquartered in Switzerland, with a dedicated technology hub in the UK, our team works across Zurich, London, and offices in additional countries. We have empowered more than 400 customers across Europe and beyond with solutions designed to drive operational efficiency, business growth, and engaging consumer experiences.

For more information, visit www.boostinc.com or www.boostbar.ch