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.

• Work under minimal supervision to design, prototype, evaluate, optimize, implement and deploy CV/DL algorithms as an integral part of AI-powered medical devices and technologies
• Understand and apply core machine learning techniques including deep learning, feature extraction, model training, evaluation and deployment to design and develop and deploy computer vision algorithms (for medical devices).
• Research and prototype state-of-the-art computer vision and AI/ML methods to develop solutions that meet product requirements.
• Implement solutions for computer vision problems such as segmentation, object detection/tracking, pose estimation, key point detection, 2D / 3D medical image segmentation and rendering, depth sensing etc.
• Participate in acquiring, storing, organizing, annotating, versioning and processing large amounts of data needed for training computer vision and machine learning models
• Document and present progress in AI / ML algorithm design, development, and evaluation
• Apply industry best practices for software development and lead code reviews for applying design principles, coding standards and Software Development Lifecycle best practices.
• Understand the intended use and clinical procedures as well as customer needs and design inputs surrounding products / features.
• Write technical documents, independently create or refine engineering documentation, such as the Design History file.

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 Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics.
• Proficiency with Python or C++ computing languages.
• Experience solving common computer vision problems using libraries such as OpenCV.
• Experience designing, developing and testing AI using Neural Networks or other Machine learning libraries such as PyTorch, Tensorflow or Scikit-learn.

Preferred Qualifications:

• Experience with deployment tools such as ONNX, TFLite, or TensorRT.
• Experience with data analysis tools such as Pandas or Scikit.
• Experience with data collection, storage, processing and annotation methods for medical device applications.
• Experience developing traditional and AI based solutions for 3D computer vision applications

• $113k - $186k salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors.

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.