Shape visual intelligence for Palona’s restaurant AI through computer vision and vision-language models, connecting images and video to helpful actions.
As an AI Research Engineer, you will study image and video understanding, spatiotemporal reasoning, and multimodal models. You will formulate research questions, build datasets, train models, and evaluate results. Your work will connect research with product and engineering systems for real restaurant environments.
Key Responsibilities: Develop scene understanding, detection, tracking, and activity recognition approaches
Adapt and evaluate vision-language models for temporal reasoning
Build datasets, annotation workflows, and difficult evaluation sets
Design experiments measuring robustness, latency, cost, and hallucinations




Diagnose failures from occlusion, lighting, and domain shift
Requirements: Three-plus years in computer vision or multimodal learning
Research track record through publications, projects, or industry delivery
Strong deep learning, Python, PyTorch, and experimental design foundations
Experience training, fine-tuning, or evaluating VLMs
Graduate research degree or equivalent research experience
Apply computer vision, VLMs, and rigorous experimentation to build reliable visual intelligence for Palona’s restaurant products.

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📌 Computer Vision VLM Research Engineer (Ontario)
🏢 Palona AI
📍 Ontario