Manager for xR, Computer Vision (HYBRID)

Work Flexibility: Hybrid

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.

Are you a seasoned computer vision expert eager to apply your exceptional leadership skills to the exciting realm of AI-driven healthcare? We invite you to take the reins as our Manager of vR, Computer Vision. This pivotal role will steer the development and integration of advanced 2D/3D computer vision, augmented reality/mixed reality, and deep-learning-based algorithms into both existing and new medical device products.

As the driving force behind a dynamic, cross-functional team of computer vision engineers, scientists, and deployment specialists, you will be responsible for directing cutting-edge research, design, development, and deployment efforts. This high-visibility role presents a rare opportunity for a technical leader with a passion for innovation to guide a talented and energetic team as they tackle complex computer vision and deep learning challenges in the pursuit of revolutionizing AI applications in healthcare.

Embrace this extraordinary chance to lead the charge in advancing healthcare technology and make a lasting impact in the AI industry. Apply now and join our mission to accelerate the future of medicine!

What You Will Do:

Technical Responsibilities

• Manage and lead a cross-functional team of computer vision scientist and engineer, providing guidance, mentorship, and performance evaluations.
• Lead, mentor, formulate and work with the team to design, prototype, evaluate, optimize, implement and deploy CV/DL algorithms as an integral part of AI-powered medical technologies.
• Own the roadmap and implementation of some of our key new initiatives in Artificial intelligence, and augmented reality / mixed reality.
• Foster a culture of innovation, continuous learning, and collaboration within the team.
• 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.
• Promote best practices in data management, data architecture, and data governance across the organization.
• Be in the trenches with your team to build something great together.

What You Will Need:

Basic Qualifications:

• Bachelor's degree in software engineering/ Computer Science or related discipline with 8+ years of work experience or Master's in relevant disciplines with 6+ years of experience or PhD degree in relevant disciplines with 4+ years of work experience.

Preferred Qualifications:

• A minimum of 6 years of experience in computer vision and deep learning / machine learning development
• At least 2 years of experience in technical leadership / management role is desirable
• Strong knowledge of deep learning, computer vision, machine learning, and working with edge-based / embedded computer vision Application
• Experience with Python or C++ is ideal.
• Experience with CV/ML frameworks such as PyTorch, OpenCV, , PCL, TensorFlow, scikit-learn etc. for model training and deployment.
• Experience in designing and training and deploying production-grade deep learning architectures for computer vision application with a broad understanding of latest CV / DL methods and literature.
• Strong problem-solving, analytical, and critical thinking skills.
• Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Proven track record of managing and delivering large-scale computer vision projects on time and within budget.
• Preferred experience with medical devices and product development in a regulated industry, e.g., software developed under ISO 13485.

• $122k - $271k 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.

#DREengineering

Travel Percentage: 20%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.