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Computer Vision Engineer
HybridFull-timeAI & Machine LearningEnterprise Software
Join an engineering team building edge AI and computer vision platforms for retail. Develop, train, and deploy vision models for large-scale production systems.
Responsibilities
- Lead applied research in object detection, multi-object tracking, representation learning, and YOLO architectures
- Train, fine-tune, and evaluate models using real-world video and edge sensor data
- Integrate multimodal architectures and Vision-Language Models into data-mining, active-learning, and auto-labeling pipelines
- Work with product and systems teams to translate customer requirements and edge cases into high-performing, low-latency neural architectures
- Maintain ML training and experimentation workflows using MLOps frameworks such as ClearML
Requirements
- Bachelor’s or master’s degree in computer science, electrical engineering, data science, or an equivalent quantitative discipline
- At least 3 years of hands-on computer vision and deep learning experience
- Experience training, optimizing, and deploying computer vision models in production
- Strong Python programming skills
- Hands-on PyTorch experience
- Practical experience with object detection, tracking, and feature representation
Nice to have
- Experience with edge deployment constraints, model optimization, TensorRT, ONNX, or MLOps platforms such as ClearML
- Experience with Vision-Language Models or automated data-labeling pipelines
Benefits
- Four days working from home