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Computer Vision Research Jobs in Texas (NOW HIRING)

Sr AI Computer Vision Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

... 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 ...

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154.20K/yr

Lead research and development (R&D) efforts to evaluate, prototype, and adopt stateoftheart (SOTA) computer vision models and techniques where they provide business or operational value * Stay ...

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99.80K - $137K/yr

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 ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ... we strive to bring research ideas into production and push the boundaries of self-driving ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ... we strive to bring research ideas into production and push the boundaries of self-driving ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ... we strive to bring research ideas into production and push the boundaries of self-driving ...

Will be responsible for conducting complex independent research into their field of field of applied artificial intelligence (AI) to solve computer vision and robotics problems. * Utilizes advanced ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

Build and optimize computer vision pipelines for perception tasks, including object detection ... Research and prototype novel AI architectures that combine vision, language, and action learning

Senior Robotics Engineer

Houston, TX · Hybrid

$99.70K - $131.70K/yr

... computer vision. * Research, assess, and where necessary design software (optional) and hardware systems for robotic applications related to the drilling industry pipe-handling activities using ...

Senior Robotics Engineer

Houston, TX · On-site

$99.70K - $131.70K/yr

... computer vision. * Research, assess, and where necessary design software (optional) and hardware systems for robotic applications related to the drilling industry pipe-handling activities using ...

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Computer Vision Research information

See Texas salary details

$10

$20

$34

How much do computer vision research jobs pay per hour?

As of May 29, 2026, the average hourly pay for computer vision research in Texas is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.16 per hour, depending on experience, location, and employer.

What is a Computer Vision Research job?

A Computer Vision Research job involves developing and improving algorithms that enable computers to interpret and analyze visual data from the world. Researchers in this field work on areas such as image recognition, object detection, and scene understanding using techniques from machine learning and deep learning. They experiment with datasets, design novel architectures, and publish findings to advance the state of the art in computer vision. These roles are commonly found in industries like healthcare, robotics, autonomous vehicles, and augmented reality.

What are the key skills and qualifications needed to thrive in the Computer Vision Research position, and why are they important?

To thrive in Computer Vision Research, you need a strong background in mathematics, machine learning, and image processing, usually supported by a graduate degree in computer science or a related field. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with relevant certifications or published research is highly valued. Critical thinking, collaboration, and clear communication are essential soft skills in this role. These skills enable researchers to develop innovative solutions, share insights effectively, and drive progress in advancing computer vision technologies.

What are some common challenges faced by professionals working in Computer Vision Research?

One of the main challenges in Computer Vision Research is dealing with the complexity and variability of real-world data, such as inconsistent lighting, occlusions, or image noise, which can make model development and testing difficult. Researchers also frequently need to stay updated with rapidly evolving algorithms and technologies while managing computational resource constraints. Collaboration with interdisciplinary teams and conveying technical findings to non-experts are important and sometimes challenging aspects of the job. Overcoming these challenges is essential for driving innovation and bringing cutting-edge vision applications to practical use.
What cities in Texas are hiring for Computer Vision Research jobs? Cities in Texas with the most Computer Vision Research job openings:
Infographic showing various Computer Vision Research job openings in Texas as of May 2026, with employment types broken down into 3% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $43,063 per year, or $20.7 per hour.
Sr AI Computer Vision Engineer

Sr AI Computer Vision Engineer

Oxy

Houston, TX • On-site

$116.90K - $154.20K/yr

Full-time

Posted 7 days ago


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.

Oxy logo

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