Staff Computer Vision/Machine Learning Engineer/Scientist for xR (HYBRID)

Key Skills

3D Graphics, 3D point clouds, 3D rendering, Aartificial intelligence, Algorithms, C++, Caffe, Computer Vision (CV), Deep Learning, Keras software library, Machine learning techniques, OpenCV, Python Programming, PyTorch, TensorFlow

Job Description

Why engineering at Stryker?

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.

Our benefits include bonuses; commissions; healthcare; insurance benefits; retirement programs; stock based plans; family and parenting leaves; tuition reimbursement; wellness programs; onsite fitness centers and cafeterias; discount purchase programs; and service and performance awards – not to mention various social and recreational activities.

Who We Want:

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.

As a Staff Computer Vision/Machine Learning Engineer/Scientist for xR, you will play a crucial role in driving business impacts and delving deep into the complexities of computer vision and deep learning problem-solving. This high-visibility opportunity is a perfect match for technical leaders who are passionate about making a tangible difference in the AI healthcare landscape. 

Are you a distinguished Computer Vision (CV) Engineer or Scientist eager to contribute your talents to the rapidly advancing field of AI-powered healthcare? Join our dynamic team of CV/ML scientists, AR/xR application engineers, software engineers, and clinical engineers as we work together to research, design, develop, and deploy state-of-the-art 2D/3D computer vision, augmented reality/mixed reality, and deep learning-based algorithms into both existing and new medical device products. 

Don't miss this exceptional chance to leave a lasting mark on healthcare technology. Apply now and harness your expertise to revolutionize AI-driven medical innovation! 

What You Will Do:

 Technical Responsibilities:

• Work and collaborate with the CV/ML team to design, prototype, evaluate, optimize, implement and deploy CV/DL algorithms as an integral part of AI-powered medical technologies for the operating room. 

• 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. 

• Design algorithm evaluation frameworks, schedule, and report algorithm performance on a regular basis. 

• 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 You Will Need:

Basic Qualifications:

• Bachelor's degree in software engineering/ Computer Science or related discipline with 4+ years of work experience OR Master’s in relevant disciplines with 2+ years of experience OR PhD degree in relevant disciplines.

Preferred Qualifications:

• 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. 

• 2+ years of experience working in Python or C++ for numerical computing

• 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, etc for deep learning model training and deployment.

• Strong background in at least three of these specialties: (i) 3D Vision and projective geometry, (ii) Computer Graphics, (iii) Deep learning/machine learning for computer vision, (iv) Practical applications of classical computer vision and machine learning techniques. 

• Practical experience with computer vision frameworks like OpenCV, Open3D, PCL, etc.

• Experience in designing and training and deploying production-grade deep learning architectures for computer vision application with a broad under‐standing of latest CV / DL methods and literature. 

• Experience in writing reusable, scalable, test-driven and well documented codebase. 

• Excellent writing and verbal communication skills. 

• Bonus for: (i) Previous experience with any head-mounted (ego-centric device) or xR platform, (ii) Academic publication in CV/AI conferences / journals such as CVPR, ICCP, ICCV, NeurIPS, etc. is a plus. 

• $95k – $204k salary plus bonus eligible + Benefits (Health, Vision, Dental, 401K, Tuition Reimbursement, Employee Assistance Program, Wellbeing Program, Employee Stock Purchase Program). This information reflects the anticipated salary range for this position based on current national data. Actual minimum and maximum may vary based location. Individual pay is based on skills, experience, and other relevant factors.