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Medical Computer Vision Research Scientist Jobs

Meta

AI Research Scientist, Robotics

Burlingame, CA · On-site

$154K/yr

... Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Apple

Senior Computer Vision Architect

Sunnyvale, CA · On-site

The Video Computer Vision and Video Engineering teams are centralized applied research and ... Minimum Qualifications BS degree in Computer Science, Electrical Engineering, or a related field ...

Kitware

3D Computer Vision Researcher

Arlington, VA · On-site

$155K - $215K/yr

Kitware is a research and development software solutions provider with a mission to advance science ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Kitware

3D Computer Vision Researcher

Arlington, VA

$155K - $215K/yr

Kitware is a research and development software solutions provider with a mission to advance science ... labs, medical device manufacturers, car manufacturers, financial institutions, and many others.

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K/yr

PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$219K/yr

PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning ... related medical conditions), sexual orientation, gender, gender identity, gender expression ...

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Medical Computer Vision Research Scientist information

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$90.5K

$132.5K

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How much do medical computer vision research scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for medical computer vision research scientist in the United States is $132,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Medical Computer Vision Research Scientist jobs?

For Medical Computer Vision Research Scientist jobs, the most frequently searched job titles are:

Infographic showing various Medical Computer Vision Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $132,455 per year, or $63.7 per hour.

Computer Vision Engineer

Rancho Santa Margarita, CA • On-site

Applied Medical
Medical Equipment and Supplies Manufacturing • 1 - 5K employees
Learn more about Applied Medicalexternal

$100 - $125/hr

Other

Retirement, PTO

Re-posted 8 days ago

Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

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
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