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Amazon Computer Vision Jobs (NOW HIRING)

CompanyCam

Machine Learning Engineer - Computer Vision

$220K - $250K/yr

The Role We're looking for a Machine Learning Engineer with deep computer vision experience to join ... Amazon Bedrock or other cloud ML services * Ruby on Rails or JavaScript/React (for integration work ...

CompanyCam

Machine Learning Engineer - Computer Vision

$220K - $250K/yr

The Role We're looking for a Machine Learning Engineer with deep computer vision experience to join ... Amazon Bedrock or other cloud ML services * Ruby on Rails or JavaScript/React (for integration work ...

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Amazon Computer Vision information

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$33.5K

$48.3K

$63.5K

How much do amazon computer vision jobs pay per year?

As of Aug 18, 2026, the average yearly pay for amazon computer vision in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What is Amazon Computer Vision?

Amazon Computer Vision refers to a set of services and technologies developed by Amazon that enable computers to interpret and analyze visual information from the world, such as images and videos. These services, like Amazon Rekognition, use advanced machine learning to identify objects, people, text, activities, and even detect inappropriate content. Amazon Computer Vision is widely used in applications like facial recognition, image moderation, and document analysis, helping businesses automate visual data processing and enhance user experiences. The technology is scalable, secure, and integrates easily into existing workflows through cloud-based APIs.

What are the key skills and qualifications needed to thrive as an Amazon Computer Vision engineer?

To thrive as an Amazon Computer Vision Engineer, you need strong foundations in computer science, machine learning, and image processing, typically with a degree in a related field. Expertise in programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and familiarity with cloud platforms like AWS are commonly required. Strong problem-solving abilities, collaboration, and effective communication skills help engineers innovate and work efficiently in cross-functional teams. These skills ensure the development of scalable and accurate vision solutions that drive product innovation and customer satisfaction at Amazon.

How does an Amazon Computer Vision specialist typically collaborate with cross-functional teams to deliver solutions?

As an Amazon Computer Vision specialist, you will frequently collaborate with software engineers, data scientists, and product managers to design and implement innovative visual recognition solutions. This involves participating in regular meetings to align technical requirements, sharing progress updates, and jointly troubleshooting challenges. Effective communication and teamwork are essential, as projects often span multiple departments, requiring you to explain complex machine learning concepts to non-technical stakeholders. Such collaboration not only enhances solution quality but also provides valuable opportunities for professional growth and cross-disciplinary learning.

What is the difference between Amazon Computer Vision vs Computer Vision Engineer?

AspectAmazon Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AWS servicesBachelor's or higher in CS, AI, or related fields; strong programming skills in Python, C++, experience with ML frameworks
Work EnvironmentPrimarily cloud-based, working with AWS tools and large datasetsTypically in R&D labs or tech companies, focusing on developing algorithms and models
Employer & Industry UsageAmazon, e-commerce, cloud computing, AI servicesTech companies, research institutions, startups in AI and computer vision

Amazon Computer Vision refers to Amazon's cloud-based AI services for image and video analysis, while a Computer Vision Engineer designs and develops algorithms for visual data processing. The roles overlap in skills and credentials but differ in focus: one is a service/product, the other a technical role involved in creating such solutions.

More about Amazon Computer Vision jobs

What states have the most Amazon Computer Vision jobs?

States with the most job openings for Amazon Computer Vision jobs include:

What job categories do people searching Amazon Computer Vision jobs look for?

The top searched job categories for Amazon Computer Vision jobs are:

Amazon Computer Vision jobs near you
Infographic showing various Amazon Computer Vision job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Engineer

Applied Medical

Rancho Santa Margarita, CA • On-site

$120K - $142K/yr

Full-time

Re-posted 16 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

Job Summary:
Applied Medical is a new generation medical device company committed to innovation and excellence in healthcare. The Computer Vision Engineer will develop and optimize algorithms for image and video analysis, integrating scalable solutions into real-world products while enhancing model accuracy and system efficiency.
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
Qualifications:
Required:
• 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)
Company:
As a new generation medical device company, Applied Medical is focused on meeting three fundamental healthcare needs: enhanced clinical outcomes, cost containment and unrestricted choice. Founded in 1987, the company is headquartered in Rancho Santa Margarita, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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