Computer Vision Engineer

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field.

Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions. Position Description The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical.

This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products. The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.

Key Responsibilities

Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications Research emerging computer vision technologies and methodologies, applying insights to improve model performance Test, validate, and deploy models, maintaining robustness and reliability in production environments Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time Success in This Role Looks Like Improving model accuracy and system efficiency across deployed computer vision solutions Delivering scalable vision-based features integrated cleanly into production products Maintaining robust, reliable models in production environments Resolving performance issues quickly to sustain accuracy and efficiency Applying current research to advance product capabilities and innovation Position Requirements This position requires the following skills and attributes: Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below Strong analytical skills and a solid foundation in mathematics Deep understanding of and hands-on experience with image processing, computer vision, machine learning, and deep learning algorithms Strong development skills in C++ or Python Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction Experience with data science and computer vision libraries, including Num.

Py, Pandas, Sci. Py, Matplotlib, Scikit-learn, and OpenCV Experience with deep learning frameworks such as Py. Torch, Tensor. Flow, or Keras Preferred The following skills and attributes are preferred: Experience with medical image analysis or medical applications Experience with image streaming and real-time image analysis Experience with computer graphics and visualization Experience with database servers such as MySQL or SQL Server Experience with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP) Benefits Competitive compensation range: $80000 - $140000 / year (California).

Comprehensive benefits package. Training and mentorship opportunities. On-campus wellness activities.

Education

reimbursement program. 401(k) program with discretionary employer match. Generous vacation accrual and paid holiday schedule. Please note that the compensation range may be adjusted in the future, and bonus and incentive compensation plans may apply. Our total reward package reflects our commitment to employee growth and well-being, as we invest in your development and offer a range of benefits designed to enhance your career and life.

All compensation and benefits are subject to plan documents and written agreements. The Computer Vision Engineer develops and optimizes computer vision algorithms and deep learning models for image and video analysis at Applied Medical. This computer vision and machine learning engineering role integrates and deploys scalable, high-performance vision-based solutions into real-world products.

The Computer Vision Engineer enhances model accuracy, improves system efficiency, and contributes to AI-driven products that advance computer vision technology across Applied Medical.

Key Responsibilities

Design, develop, and implement computer vision algorithms for object detection, segmentation, tracking, and feature extraction in image and video analysis Collaborate with cross-functional teams to deploy and embed computer vision capabilities into products, including the Simsei simulation program Optimize the accuracy, efficiency, and scalability of existing computer vision systems for real-world applications Research emerging computer vision technologies and methodologies, applying insights to improve model performance Test, validate, and deploy models, maintaining robustness and reliability in production environments Monitor and troubleshoot deployed systems, resolving performance issues and implementing enhancements over time Success in This Role Looks Like Improving model accuracy and system efficiency across deployed computer vision solutions Delivering scalable vision-based features integrated cleanly into production products Maintaining robust, reliable models in production environments Resolving performance issues quickly to sustain accuracy and efficiency Applying current research to advance product capabilities and innovation This position requires the following skills and attributes: Bachelor's degree in computer science, computer engineering, electrical engineering, or a related engineering field with an emphasis on computer vision, or relevant experience Minimum of three years of relevant work experience, or equivalent education and experience demonstrating the skills below Strong analytical skills and a solid foundation in mathematics Deep understanding of and hands-on experience with image processing, computer vision, machine learning, and deep learning algorithms Strong development skills in C++ or Python Experience applying traditional computer vision and deep learning algorithms to problems such as object detection, segmentation, tracking, and feature extraction Experience with data science and computer vision libraries, including Num.

Py, Pandas, Sci. Py, Matplotlib, Scikit-learn, and OpenCV Experience with deep learning frameworks such as Py. Torch, Tensor. Flow, or Keras