Computer Vision Engineer

Applied Medical • Rancho Santa Margarita, CA

9h • Onsite

About The Position

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.

Requirements

• 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 NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, and OpenCV
• Experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras

Nice To Haves

• 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)

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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level