Computer Vision Engineer

Applied Medical; Rancho Santa Margarita (CA); On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

Comprehensive benefits package

Training and mentorship opportunities

401(k) program with employer match

Job summary

Applied Medical is seeking a Computer Vision Engineer in Rancho Santa Margarita, California. The role focuses on developing and optimizing vision algorithms for real-world applications using AI technologies. Candidates should possess strong skills in computer vision, deep learning, and programming, with a bachelor’s degree in a related field and three years of experience.

The position offers competitive compensation ranging from $80,000 to $140,000 annually, a comprehensive benefits package, and opportunities for training and professional growth.

Qualifications

• Bachelor's degree in a related engineering field, or equivalent experience.
• Minimum of three years relevant work experience.
• Strong analytical skills and foundation in mathematics.
• Deep understanding of image processing and computer vision.

Responsibilities

• Design and implement computer vision algorithms for image analysis.
• Collaborate with teams to integrate vision capabilities into products.
• Optimize accuracy and efficiency of existing vision systems.
• Research emerging computer vision technologies.

Skills

C++

Python

Image processing

Deep learning

Machine learning

Object detection

Segmentation

Tracking

Education

Bachelor's degree in computer science or related field

Tools

OpenCV

PyTorch

TensorFlow

AWS

SQL Server

Job description

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

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: $80,000 - $140,000 / 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