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Amazon Computer Vision Jobs (NOW HIRING)

Oxy

Sr AI Computer Vision Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

... Amazon SageMaker when appropriate • Collaborate closely with cross‑functional teams (AI ... in computer vision or applied deep learning. • Excellent Python skills (required), including ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154.20K/yr

Design and select appropriate computer vision model architectures for classification, detection ... Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Design and select appropriate computer vision model architectures for classification, detection ... Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances

Photoroom

Head of Computer Vision

San Francisco, CA · On-site

... Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API. We're a remote ... Head of Computer Vision Compensation: Competitive salary + Stock-Options/BSPCE Team size: ~10 ML ...

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 May 30, 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 are the key skills and qualifications needed to thrive as an Amazon Computer Vision Engineer, and why are they important?

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 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 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 cities are hiring for Amazon Computer Vision jobs? Cities with the most Amazon Computer Vision job openings:
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 May 2026, with employment types broken down into 25% As Needed, and 75% Full Time. Highlights an 58% Physical, 36% Hybrid, and 6% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Sr AI Computer Vision Engineer

Sr AI Computer Vision Engineer

Oxy

Houston, TX • On-site

$116.90K - $154.20K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Oxy is seeking an experienced and innovative Senior AI – Computer Vision Engineer to join their AI Center of Excellence (ACE) group based in Houston, TX. This role focuses on designing, developing, and deploying production-grade computer vision solutions across Oxy, supporting a wide range of industrial, operational, and subsurface use cases.
Responsibilities:
• Design and select appropriate computer vision model architectures for classification, detection, segmentation, and object tracking
• Work with classification architectures such as ResNet, VGG, EfficientNet, and MobileNet, and segmentation architectures such as U‑Net
• Build, train, fine‑tune, and optimize models using Ultralytics YOLO for object detection and segmentation (required)
• Develop deep learning models using PyTorch and TensorFlow
• Lead research and development (R&D) efforts to evaluate, prototype, and adopt state‑of‑the‑art (SOTA) computer vision models and techniques where they provide business or operational value
• Stay current with advances in computer vision research, including new architectures, training methods, and foundation models, and translate relevant innovations into practical solutions
• Leverage Hugging Face for pretrained backbones, model assets, and rapid experimentation
• Apply Vision‑Language Models (VLMs) to multimodal computer vision workflows (e.g., OCR, image‑to‑text, prompt‑driven visual understanding)
• Design, manage, and continuously improve image and video labeling workflows, using Roboflow or similar annotation tools
• Deliver computer vision models for surface and downhole image analysis, including lithology, facies, and textural interpretation
• Optimize computationally heavy training and inference workloads, including GPU utilization, memory efficiency, and throughput/latency tradeoffs
• Work with GPU‑accelerated environments (CUDA‑enabled frameworks) and AWS‑based ML infrastructure, including Amazon SageMaker when appropriate
• Collaborate closely with cross‑functional teams (AI platform, software engineering, domain experts) and mentor junior engineers
• Communicate technical findings, experimental results, and recommendations clearly through presentations, demos, and written documentation
Qualifications:
Required:
• Master's Degree in Computer Science or a related technical field required.
• 6+ years of hands‑on experience in computer vision or applied deep learning.
• Excellent Python skills (required), including writing clean, efficient, production‑ready code
• Strong experience with PyTorch, TensorFlow, CNN‑based architectures, transformers, and Vision‑Language Models
• Ultralytics YOLO experience required, including training and tuning on real‑world datasets
• Practical familiarity with Hugging Face and Roboflow
• Experience working with GPU‑accelerated workloads and CUDA‑enabled deep learning frameworks
• Experience developing or running ML workloads on AWS, including Amazon SageMaker and GPU instances
• Strong experience working in Linux environments
• Excellent teamwork, communication, and presentation skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences
• Demonstrated contributions to computer vision research, including peer‑reviewed publications, conference papers, or equivalent applied research output
Company:
Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. Founded in 1920, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Oxy

Sourced by ZipRecruiter

For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.

Industry

Oil and gas extraction

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

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