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Senior Computer Vision Engineer

LinkedIn Stryker Menlo Park, CA
Associate Posted April 2, 2026 Job link
Responsibilities

On the AI/ML team at Stryker, you'll lead the end-to-end development, optimization, and deployment of advanced computer vision and machine learning algorithms for AI-powered medical devices across edge and cloud platforms. You will manage the full data lifecycle, apply and research state-of-the-art CV/ML/DL techniques for tasks such as segmentation, detection, tracking, pose estimation, and 2D/3D medical image rendering, while ensuring performance, robustness, regulatory-compliant documentation, and alignment with clinical use and customer needs. You’ll also contribute to software best practices, code reviews, technical documentation, and the organization and annotation of large training datasets.

Commitments

Depending on customer requirements, employees and new hires in sales and field roles that access customer accounts may be required to obtain certain vaccinations as an essential function of their role.

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Requirements
  • Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics, or related field AND 2 years of industry experience
  • 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 Skills
  • 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
Education
  • (Not required) – Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics, or related field AND 2 years of industry experience
  • (Not required) – OR Master's Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics.