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iRobot Corporation

Principal Computer Vision Scientist

iRobot Corporation, Bedford, Massachusetts, us, 01730


Principal Computer Vision ScientistPrincipal Computer Vision Scientist

iRobot is looking to hire a Senior Principal Engineer on our SLAM and Perception team who will play a vital role in developing the next generation of robots that will live in millions of homes across the world. If you are a consumer-centric pioneer eager to build innovative robot products.What You Will Do:Develop computer vision and machine learning algorithms for creating and understanding of maps in dynamic environments.

Conduct research and development in computer vision, map understanding, semantic understanding of scenes, and related disciplines.

Collaborate with cross-functional teams to develop systems from prototypes to production.

Work at the intersection of traditional computer vision and machine learning to improve and enrich indoor robot maps.

Develop and deploy algorithms for desktop and embedded platforms, in C/C++ and other languages.

To Be Successful You Will Have:State-of-the-art understanding of robotic perception, including multiple sensing modalities like 2D vision, 3D vision, LIDAR, etc.

Exposure to modern machine learning.

Demonstrated experience in applications such as 3D reconstruction, 3D understanding of scenes, room layout estimation, depth estimation, point cloud processing, sensor fusion, calibration, or semantic segmentation.

Strong proficiency in C++ and Python and experience with ML frameworks (PyTorch, TensorFlow).

Understanding of data structures, design patterns, and advanced programming techniques.

M.S. or Ph.D. in Computer Science or related fields.

Eight or more years of work experience in robotics, SLAM, or computer vision.

In Return You Can Expect:To work on exciting problems in computer vision and semantic maps, and deploy solutions to the world’s largest installed base of consumer robots.

Be an integral part of a team dedicated to building the next generation of robots.

Opportunities to continuously learn, collaborate with, and mentor our innovative and knowledgeable technical staff including leading scientists in computer vision, machine learning, and SLAM.

An attractive salary package with good benefits.

Excellent career growth opportunities.

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