Computer Vision Engineer

• Design, train, and iterate on custom object detection models specifically tuned for retail environments, inventory tracking, and product recognition
• Fine-tune and deploy open-source vision-language models (LLaVA, Qwen-VL, InternVL, PaliGemma, etc.) for product understanding, zero-shot classification, and scene reasoning
• Build vision-language-action pipelines that translate visual understanding into downstream decisions
• Take state-of-the-art models and optimize them for edge deployment through quantization, pruning, and architectural optimization
• Build robust data pipelines and annotation workflows to continuously improve model performance on diverse retail scenarios
• Stay ahead of the curve on CV and VLM research, prototype new architectures, and determine what's production-ready
• Mentor engineers, establish best practices for model development, and drive technical decisions around our CV infrastructure

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Senior Computer Vision Engineer