Senior Computer Vision/AI Scientist
Johnson & JohnsonAbout the role
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
R&D Product DevelopmentJob Sub Function:
R&D Machine LearningJob Category:
Scientific/TechnologyAll Job Posting Locations:
Santa Clara, California, United States of AmericaJob Description:
We are searching for the best talent for a Senior Computer Vision/AI Scientist position in our Santa Clara, CA location.
Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.
Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
Purpose:
Are you passionate about improving and expanding the possibilities of surgery?
Ready to join a team that’s reimagining how we heal?
At Johnson & Johnson MedTech we are passionate about redefining medical interventions. By combining advancements in medical robotics, instrumentation, navigation, and AI, we are building intelligent platforms capable of growing the applicability of robotics to a new spectrum of medical procedures. We are seeking a hardworking individual for a Senior Computer Vision/AI Scientist position within the Algorithms & AI team (part of MONARCH™ R&D).
You will work closely with other Computer Vision Scientist, Navigation and ML/AI Research Scientists and Engineers, as well as SW and System Engineers to develop advanced computer vision and AI capabilities for robotic-assisted flexible endoscopy procedures. This will be a great opportunity to develop your skills in solving complex challenges and contribute to technology development and innovative simulation capabilities for next generation robotic platforms!
You will be responsible for:
The design, development and implementation of advanced ML/AI based computer vision algorithms for pose estimation, mapping/localization, anatomy/tool segmentation, and 3D reconstruction in dynamic environments.
Experiment design, testing, and validation of algorithm performance in simulated and real environments.
Integrating and deploying new algorithms into existing SW frameworks and machine learning pipelines.
Analysis and evaluation of navigation, localization and other ML/AI algorithms with large multi-modal datasets.
Improving existing MLOps (e.g. DVC, MLFlow) infra and development of innovative annotation pipelines.
Working in a multi-functional setting with other CV/AI and Navigation Research Scientists, SW and System Engineers, Data Scientists, and Product Management to transfer new solutions into MONARCH™ products and applications. Support external partnerships in the space of simulation and AI.
Qualifications / Requirements:
4+ years experience and proven track record in computer vision and DL/AI algorithm development and deployment. Candidates with a PhD degree in computer science, engineering, robotics, or similar fields preferred.
Hands-on experience and strong understanding of 3D reconstruction, segmentation, mapping, pose estimation and visual odometry.
Hands-on experience with machine learning/deep learning frameworks (e.g. PyTorch, Tensorflow and TensorRT) for computer vision.
Proficiency in Python and/or C++.
Comfortable working with multi-functional teams and strong interpersonal skills.
Desired Qualifications:
Experience in processing endoscopic and/or laparoscopic image datasets.
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