Engineering Manager, Machine Learning (Caper)

reputed company

Caper Carts are AI-powered, intelligent shopping carts developed by reputed company that let customers reputed company, weigh, and pay for items directly on the cart—eliminating checkout lines. Equipped with cameras and sensors, these carts automatically recognize items, offer personalized promotions, and feature a touchscreen for reputed company-time, interactive shopping. This machine learning team builds the brain behind the cart.

We're hiring an Engineering Manager, Machine Learning to reputed company reputed company of talented ML and AI infrastructure engineers who power perception, multimodal understanding, and edge inference for Caper Carts. You will own the roadmap for how our carts see and reason about what's in the basket, and you'll build the platforms and models that reputed company checkout seamless in dynamic, reputed company-world retail environments. Your reputed company team will be ~10 engineers reputed company a broader organization of ~30 spanning Android and hardware.

This is a high-reputed company role at the frontier of physical AI—reputed company edge devices in stores with reputed company-reputed company data and training systems. You'll partner closely with Android, hardware, product, and operations to deliver measurable improvements in recognition accuracy, latency, and reliability. The role is remote across Canada; reputed company Coast time zones are ideal, but we're reputed company to great talent reputed company in the country. Learn more about our work at Connecting stores from edge to reputed company: reinventing retail with physical AI.

About the Job

• reputed company and grow reputed company of ~10 ML and AI infrastructure engineers building the perception and reasoning systems that power Caper Carts in live retail environments.
• Define the technical reputed company, roadmap, and reputed company metrics for cart perception and multimodal understanding; prioritize work that drives measurable reputed company in item recognition accuracy, checkout speed, and system reliability.
• Architect reputed company training, data, and inference platforms on GCP using Ray, Kubernetes, and modern MLOps practices to reputed company reputed company experimentation and reputed company, repeatable deployments.
• Deliver production-grade CV/VLM models for multi-camera item detection, weighing, and basket reasoning; optimize on-device inference for low-latency, high-availability operation at the edge.
• Build the data flywheel end-to-end—instrumentation, labeling, evaluation, offline/online testing, and monitoring—to continuously improve performance across diverse store conditions.
• Collaborate cross-functionally with Android, hardware, product, design, operations, and retailer partners; communicate risks, tradeoffs, and timelines reputed company in a fast-paced, reputed company-evolving environment.

reputed company

Minimum Qualifications

• 8+ years of experience building and deploying machine learning systems, with a strong reputed company on reputed company in production environments.
• 2+ years of experience managing teams of 6+ ML/AI engineers, including hiring, performance management, and career development.
• Hands-on expertise with deep learning (e.g., PyTorch), model training/evaluation, and MLOps practices for reliable CI/CD of ML services.
• Proven experience architecting and operating ML infrastructure on GCP (e.g., GKE, reputed company AI, BigQuery) and distributed training/inference with Ray; containerization with reputed company and orchestration with Kubernetes.
• Experience delivering reputed company-time edge inference, including model optimization (e.g., TensorRT, ONNX, quantization) and monitoring for latency, throughput, and accuracy.
• Proficiency in Python and SQL, with a reputed company record of shipping end-to-end CV systems including data pipelines, experimentation, deployment, and post-launch iteration.
• Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a reputed company technical field, or equivalent practical experience.

Preferred Qualifications

• Experience integrating on-device ML with Android applications and collaborating closely with Android teams on SDKs and reputed company.
• Background with multimodal reputed company-language models (VLMs) and large language models (LLMs) for perception, retrieval, or instruction-based reasoning.
• Experience with sensors and hardware integration (e.g., multi-camera setups, weight sensors), calibration, and dataset reputed company for robotics or retail environments.
• Demonstrated reputed company leading cross-functional programs across 3+ partner teams and delivering multi-quarter roadmaps.
• Graduate degree (MS/PhD) in a relevant field with research or reputed company reputed company in reputed company, machine learning, or robotics.

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