Work Flexibility: Onsite It's Time to Join Stryker! Who We Want At Stryker Endoscopy, our Computer Vision team develops advanced image analysis technologies that support clinical decision-making, improve visualization, reduce surgeon workload, and ultimately improve patient outcomes. We are building next-generation AI and computer vision capabilities that directly impact patient care and help shape the future of medical technology. We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the design and development of advanced computer vision and machine learning technologies. In this role, you will contribute to technical direction, help design scalable AI-enabled systems, and apply modern AI/ML techniques to impactful products and platforms. This is an opportunity to apply your expertise to meaningful technology that directly impacts surgeons and patients worldwide. What You Will Do Design, develop, train, and integrate advanced computer vision and machine learning solutions. Train, evaluate, and iterate computer vision models using real-world image and video data. Create detailed designs and implement software systems, components, and algorithms. Design and execute technical experiments and proof-of-concept demonstrations. Provide technical guidance to colleagues and contribute to architecture and design decisions. Contribute to the design of scalable AI-enabled systems and inform technical tradeoff discussions. Translate customer and business needs into technical solutions and product requirements. Evaluate and integrate emerging technologies, frameworks, and tools to accelerate innovation. Participate in design reviews, code reviews, and the application of engineering best practices. Partner with R&D, Product, Clinical, Quality, Regulatory, and cross-functional stakeholders to deliver impactful solutions. Influence technical decisions within assigned projects and partner with senior technical leaders on broader initiatives. Contribute to innovation through technical contributions, invention disclosures, and potential patent activity. Collaborate with global engineering teams across North America and India. What You Need Bachelor’s degree in Software Engineering, Computer Science, Artificial Intelligence, or related discipline 4+ years of related work experience.
Preferred Qualifications
Experience
developing and deploying computer vision and/or AI/ML solutions in real-world environments.
Experience
training, evaluating, and improving computer vision or machine learning models.
Experience
developing software solutions for complex technical environments.
Experience
applying machine learning to image or video analysis applications.
Experience
with frameworks such as OpenCV, PyTorch, TensorFlow, or similar technologies.
Experience
with Python and/or C++, with CUDA as a plus. Excellent communication and collaboration skills with the ability to influence across technical and cross-functional teams. Desired
Qualifications
Experience
with medical imaging.
Experience
with cloud AI/ML environments, model training pipelines, or MLOps workflows.
Experience
working with large-scale datasets and model evaluation strategies.
Experience
in regulated industries such as healthcare, medical devices, aerospace, robotics, automotive, or other safety-critical environments.
Experience
supporting intellectual property development through patents or invention disclosures. Advanced degree in Computer Science, Computer Vision, Artificial Intelligence, or related field. $105,300 - $140,450 CAD Annual Travel Percentage: 10% Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.