POSITION SUMMARY:

Embark on an incredible journey with a highly skilled, award-winning team of global experts coordinated from the heart of Silicon Valley. We are on a mission to create groundbreaking artificial intelligence and computer vision solutions that transform how medical procedures are conducted in operating rooms and hospitals worldwide.

Stryker AI is a melting pot of trailblazers, forward-thinkers, and game-changers who are committed to revolutionizing surgical practices. As a valued member of our elite team, you will contribute to developing core technologies that power a wide array of products, including surgical robotics, image-guided interventions, navigation systems, treatment selection tools, outcome assessment platforms, and augmented/mixed reality visualization solutions. Together with our customers, we strive to improve patient outcomes and redefine the future of healthcare technology.

Seize this unparalleled opportunity to shape the future of medical innovation and be a part of something truly extraordinary. Apply now and join us in making a difference!

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, AI Research.

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!

Responsibilities

• Manage and lead a cross-functional team of computer vision scientists and engineers, 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.
• 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.

Minimum Qualification

• Bachelor's degree in software engineering/ Computer Science or related discipline with 10+ 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 qualification and experience

• A minimum of 10 years of experience in computer vision and deep learning / machine learning development, with at least 4 years in a managerial or leadership role.
• 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.