Machine Learning / Computer Vision Engineer

Company Description SHIFT Studios is an e-Commerce growth studio focused on creating world-class online shopping experiences that scale. With over 50 years of combined experience, the team blends strategy, design, technology, and performance to build commercially focused solutions for ambitious brands. As a certified Shopify Premier Partner, SHIFT Studios designs, develops, and optimises high-performing e-Commerce websites across Shopify and Shopify Plus, from conversion-driven UX to complex back-end integrations. The in-house team collaborates across the entire e-Commerce ecosystem, working with leading platforms in loyalty, reviews, subscriptions, ERPs, and advanced integrations to deliver scalable, stable, and future-ready builds. SHIFT Studios partners with growth-minded founders and teams across fashion, tech, food, luxury, and more, united by a commitment to craft, performance, and measurable results. Alongside our client work, we build and scale our own ventures. This role sits with Cubby - an AI-powered household food agent that turns a video of your fridge into a fully managed pantry, expiry alerts, recipes, and a weekly shop, all with one tap to approve. Cubby is at an early, fast-moving stage. You'll be employed by SHIFT Studios and dedicated to building Cubby's core technology from the ground up. Role Description This is the most important early engineering hire for Cubby. The entire product rests on one thing working: turning a short video of a fridge or a photo of a receipt into clean, structured, trustworthy inventory. You'll own that end to end, working directly with Cubby's CTO and founding team. You'll build and own: * The computer-vision pipeline that identifies food items from video and images at consumer-grade cost and speed * Receipt and e-receipt OCR, line-item parsing, and product mapping * The inference layer feeding Cubby's Pantry and Expiry agents - storage inference, category priors, shelf-life prediction, and confidence scoring * The evaluation harness and data feedback loops that make the models sharper as usage grows You'll move fast, ship to real users, and shape the technical direction of a category-defining product from day one. Qualifications * Demonstrated experience shipping production computer vision or applied ML in a consumer or high-throughput setting. * Comfort across the full stack of ML delivery: model selection, fine-tuning, inference optimization, and the engineering that puts it in front of real users. * Rigorous thinking about cost, latency, and confidence - not just accuracy in a notebook. * Experience with vision-language models and structured extraction is a strong plus. * Food, retail, grocery, or logistics domain experience is a bonus, not a requirement. * Ability to stand up early data infrastructure when the sprint needs it. * Appetite for 0→1 ownership in an ambiguous, fast-moving venture environment. * Bachelor's degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.