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Submission information
Submission Number: 121
Submission ID: 7438
Submission UUID: c7b61b57-bc4f-4760-84c1-7d108592c51c
Submission URI: /ntid/webform/nce_hire_request_form
Created: Wed, 10/28/2020 - 15:11
Completed: Wed, 10/28/2020 - 15:12
Changed: Thu, 11/05/2020 - 10:26
Remote IP address: 168.149.164.35
Submitted by: Anonymous
Language: English
Is draft: No
Webform: NCCC Hire Request Form
Company Information ------------------- Company Name: Intuitive Website: https://careers.intuitive.com/jobs/202141?lang=en-us Job Information --------------- Job Title: Computer Vision / AI Intern Address: Sunnyvale, California United States Job Description: Company Description: Intuitive Surgical designs and manufactures state-of-the-art robot-assisted systems for use in minimally-invasive surgery. These systems are revolutionizing the way in which surgery is being done and offer a unique platform—that is being used routinely at hospitals worldwide—for exploring the potential of intelligent surgery. Joining Intuitive Surgical means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and decreasing surgical invasiveness, with patient safety as our highest priority. Eligibility: Must be concurrently enrolled in a degree-seeking program with an accredited university or enrolled in an upcoming program. Primary Function of Position: We are seeking a self-motivated intern to support the Applied Research team in projects focused on Computer Vision, Deep Learning and Image/Video Analytics and contributing to new technology development in the area of 3D scene understanding/reconstruction and spatial AI systems for next generation robotic surgery platforms. This role is an exciting opportunity to join a newly formed team and contribute to its future growth and it will give you an opportunity to test your knowledge in a challenging problem solving environment. Requirements: Roles and Responsibilities: The intern will: • Research, design and implement algorithms in deep learning for computer vision and image analytics • Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis • Develop new and/or improve previously developed video/image semantic segmentation methods • Work with an existing vision and ML data pipeline and toolset and improve aspects of it • Analyze and improve efficiency, accuracy, scalability and stability of currently developed systems Skill/Job Requirements: • Graduate-level study in computer science, electrical engineering or robotics with emphasis on computer vision and machine learning. • Experience building systems based on machine learning and/or deep learning methods. • Strong hands on C++/Python/Matlab skills. • Strong hands-on experience with deep learning frameworks such TensorFlow, PyTorch, and Caffe. • Good hands on experience with a few of the state-of-the-art deep learning models for image/video understanding and pose estimation. • Good hands on experience with computer vision algorithms and libraries. • Self-starter and able to work in a collaborative and results oriented environment. Learning Outcomes: • Develop, build, and test prototypes in an industrial research environment. • Gain experience building learning systems based on a very unique clinical dataset (RGB- D and video) and application • Gain experience with integration of CV/ML algorithms with robotic platforms • Gain experience with state of the art 3D sensing technologies/systems/algorithms • Gain hands-on experience with a robot-assisted surgery platform while integrating and testing prototype technologies. • Gain experience working with data-sets from clinical settings. Commitment: Must be available to work full-time hours, M-F for 12-14 weeks beginning anytime in between January and June 2021. We are an AA/EEO/Veterans/Disabled employer. Resume Information ------------------ Applicants should submit the following:: Resume Majors Desired:: Computing, Engineering Degree levels accepted:: Graduate Application Information ----------------------- Apply online at:: https://careers.intuitive.com/jobs/202141?lang=en-us