As a part of Masimo’s Algorithm Engineering group you will perform research and development of
computer vision algorithms for use in clinical settings. Your expertise in novel computer vision and
artificial intelligence techniques is needed to enable autonomous decision making on novel Masimo
medical devices to improve the user experience and enhance patient safety. You will engage with various
groups such as software, hardware and systems to ensure that these algorithms can be practically
deployed with high accuracies with minimal resource usage and maximum ease of use in existing and
future Masimo products.
Duties & Responsibilities
Designing, training and verifying machine learning and traditional models focused on computer
vision including and not limited to camera calibration, object recognition/identification/tracking,
feature detection/identification/analysis, activity recognition, and RGBD image processing.
Hardware architecture design and optimization of vision algorithms on server and distributed
Quickly prototype new ideas/technologies to create proof of concept and demos.
Contribute to the organization’s strong drive to be on the cutting edge of technology through the
generation of patentable ideas.
Effectively communicate with engineering and marketing teams.
Delivering high quality software design, documentation and implementation.
Minimum & Preferred Qualifications and Experience
B.S. degree in Computer Science.
Strong computer vision, machine learning, and signal- and video-processing background, with
hands-on experience in building real systems.
Experience with OpenCV.
Experience with AI frameworks such as: Tensorflow, Keras, etc.
Experience in Python and C++.
Experience with embedded and distributed computer systems.
Familiarity with AI algorithms for problems, like regression, classification, clustering,
dimensionality reduction, structured output etc.
Excellent communication and organizational skills.
Ph.D. or M.S. degree in Computer Science specialized in AI/ML/Computer Vision/Image or
3+ years of industrial experience in Computer Vision.
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