Computer Vision AI & ML Engineer
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The role
Design, implement, and deploy advanced perception systems for robotics and automation.
Develop deep learning models for object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
Build scalable pipelines for data processing, training, evaluation, and deployment into real-time systems.
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.
Develop deep learning models for object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
Build scalable pipelines for data processing, training, evaluation, and deployment into real-time systems.
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.
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