Computer Vision / Machine Learning Engineer
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The role
Develop, validate, and deploy computer vision and machine learning models for real-world object counting in high-throughput environments.
Improve instance segmentation, detection accuracy, and object tracking using RGB and depth data with multimodal fusion.
Deploy models into validation and pre-production environments, aligning with strict accuracy and performance targets.
Optimize real-time inference pipelines for low latency on NVIDIA-based edge hardware using accelerators like TensorRT.
Support data curation and ground-truth auditing to maintain high-quality labeled data for robust models.
Implement robust tracking methods to maintain object persistence across frames and ensure reliable performance in production.
Improve instance segmentation, detection accuracy, and object tracking using RGB and depth data with multimodal fusion.
Deploy models into validation and pre-production environments, aligning with strict accuracy and performance targets.
Optimize real-time inference pipelines for low latency on NVIDIA-based edge hardware using accelerators like TensorRT.
Support data curation and ground-truth auditing to maintain high-quality labeled data for robust models.
Implement robust tracking methods to maintain object persistence across frames and ensure reliable performance in production.
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