Principal Computer Vision/ Machine Learning Engineer for xR (m/f/d)

Key Skills

3D Computer vision, 3D point clouds, C++, Caffe, Keras software library, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

At Stryker we are dedicated to improving lives, with a passion for researching and developing new medical device products. As an engineer at Stryker, you will be proud of the work that you will be doing, using cutting-edge technologies to make healthcare better. Here, you will work in a supportive culture with other incredibly talented and intelligent people, creating industry-leading medical technology products. You will also have growth opportunities as we have a culture that supports your personal and professional development.

Need another reason to apply? Check out these 8 reasons to join Stryker’s engineering team: https://www.strykercareersblog.com/post/8-reasons-to-join-strykers-engineering-team 

Are you passionate about AI, driven to make healthcare better, and instinctively compelled by the opportunities to create something new? Then embark on a journey with our global team of master technologists coordinated in heart of the Silicon Valley, CA.

As a valued member of Stryker’s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, AI/ML and digital innovation to the operating room and other healthcare settings.

You’ll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker’s solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency – plus many more.

We are on a mission to create groundbreaking artificial intelligence and computer vision solutions that transform medicine in operating rooms and hospitals worldwide. Be a part of the journey, apply now!

As a Principal CV Engineer/Scientist, you will play a crucial role in shaping the future of AI-enhanced healthcare. This high-visibility position offers an unparalleled opportunity for a technical leader who is passionate about diving deep into the intricacies of computer vision and deep learning problem-solving while making a significant business impact.

Your key responsibilities 

• Participate in cutting-edge research in computer vision that can be applied to AR/xR product development. 
• Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking, reconstruction and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, 2D / 3D medical imaging segmentation and rendering. 
• Research and prototype state–of–the-art computer vision and deep learning methods to develop solutions that meets product requirements. 
• Formulate processes for choosing appropriate sensors based on requirements like cameras and developing image processing algorithms, with an emphasis on classical computer vision, 3D geometry, and deep learning. 
• Document and present progress in algorithm design, development, and evaluation (requirements/design/architecture/bugs/tests). 
• Lead code reviews for projects/systems as an independent reviewer applying design principles, coding standards and best practices. 

What are we looking for? 

• You have successfully completed your studies in the field of computer science, software engineering or a comparable discipline (PhD desirable). 
• You have 8+ years of industry experience working on projects such as: real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, and/or image processing. Image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering.
• Experience with camera calibration, stereo vision, tracking, 3D points clouds, registration and associated algorithm development.
• Experience with deep learning framework (such as PyTorch, Tensorflow, Keras, Caffe) for DL model training and deployment as well as practical experience working with C/C++, phyton is mandatory.
• Bonus for previous experience with any head-mounted (ego-centric device) or xR platform.