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    • 1.4 Applied Scientist - Irvine - mycnajobs

    mycnajobs
    mycnajobs Irvine

    2 weeks ago

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    Description

    Field AI Job Description

    Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence.

    Key Responsibilities

    • Research and develop state-of-the-art algorithms for 3D vision tasks, including point cloud registration, 3D reconstruction, object detection, and semantic segmentation.
    • Implement designed algorithms in C++ and Python, and maintain an efficient and high-quality code base.
    • Collaborate with engineering teams to translate research insights into scalable, production-ready solutions deployed in the field.
    • Collaborate with other research team members to publish and present findings at top-tier conferences and journals, contributing to the broader robotics and 3D vision research community.

    Requirements

    • Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in robotics and computer vision.
    • Strong foundation in computer vision, 3D geometry, and robot kinematics (e.g., transformation matrices).
    • Experience with machine learning models for point cloud processing, and frameworks such as PyTorch and Tensorflow.
    • Proven research experience with publications in top-tier conferences or journals related to robotics, computer vision, or machine vision.
    • 4+ years of experience implementing and deploying robot perception systems and 3D vision algorithms.
    • Proficiency in libraries like PCL, Open3D, and OpenCV, along with experience in tools such as CloudCompare.
    • Excellent programming skills and practices in C++ and Python, with the ability to deliver high-quality, maintainable code.
    • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.
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