Senior Computer Vision Engineer

Work Flexibility: Hybrid What You Will Do: Lead the development and optimization of state-of-the-art computer vision and Artificial Intelligence / machine learning (AI/ML) algorithms and models from conceptualization to deployment on both edge and cloud platforms. Conduct rigorous performance analysis to systematically improve the functionality of computer vision and AI/ML techniques within our product suite. Manage the entire lifecycle of data handling for machine learning models, ensuring compliance with privacy standards during data collection, processing, and labeling. Ensure the reliability and robustness of computer vision and machine learning applications under diverse operational conditions. Independently design, prototype, evaluate, optimize, implement and deploy computer vision and AI/ML algorithms as an integral part of AI-powered medical devices and technologies Be an expert in applying core machine learning techniques including deep learning, feature extraction, model training, evaluation and deployment to design and develop AI-powered medical devices. Skilled in quickly identifying key advances in the computer vision and AI/ML literature and relevance to problems being solved as well as explaining and justifying usage of new approaches through prototyping and demonstration Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking (e.g. face tracking, body tracking, key point estimation), depth sensing, 3D stereo and volumetric reconstruction, 2D / 3D medical imaging segmentation, deriving biomarkers from medical imaging such as CT scans, X-Ray, MRI, etc. Collaborate with internal or external teams in acquiring, storing, organizing, annotating, versioning and processing large amounts of data needed for training computer vision and machine learning models Design algorithm evaluation frameworks, schedule and report algorithm, AI/ML model, and system performance regularly. Document and present progress in algorithm design, development, and evaluation (requirements/design/architecture/bugs/tests). What You Will Need: Required Qualifications: Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics, or related field AND 2 years of industry experience OR Master's/PhD Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics Strong understanding of medical imaging modalities such as CT, MRI, X-ray, ultrasound, fluoroscopy, angiography or endoscopy, including common artifacts, acquisition variability, and clinical workflow constraints Experience with medical imaging data formats and standards, including DICOM, NIfTI, PACS workflows, metadata handling, and image anonymization Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch-Lightning, Tensorflow/keras, OpenCV, pandas, scikit-learn, MLFlow, ONNX, cloud (one of AWS/GCP/Azure), docker container. Experience in designing and training and deploying production-grade deep learning architectures for computer vision applications with a broad under‐standing of latest CV / DL methods and literature. $116,100 - $193,400 USD Annual Travel Percentage: 10% 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. 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: 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.