ZipRecruiter

Log In

1

Computer Vision Engineer Jobs in Houston, TX (NOW HIRING)

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99K - $137K/yr

We are looking for an experienced and innovative Senior AI - Computer Vision Engineer to join the AI Center of Excellence (ACE) group based in Houston, TX. This individual contributor role focuses on ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154K/yr

We are looking for an experienced and innovative Senior AI - Computer Vision Engineer to join the AI Center of Excellence (ACE) group based in Houston, TX. This individual contributor role focuses on ...

Staffingine LLC

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Drone Data Engineer Job Location: Houston, Tx Job Type: Contract * Drone Data Execution Engineer ... Computer vision models * Defect detection * Asset condition monitoring * Digital twin platforms

Pozent Corporation

Sr. AI Engineer@Houston, TX

Houston, TX · On-site

$116K - $154K/yr

... computer vision, or predictive analytics solutions • Train, test, and evaluate models for ... Data Engineering & Processing (Optional) • Collect, clean, and preprocess structured and ...

next page

Showing results 1-20

All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Houston, TX

Computer Vision Engineer information

See Houston, TX salary details

$46.3K

$116K

$131.3K

How much do computer vision engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for computer vision engineer in Houston, TX is $116,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $125,600.00 per year, depending on experience, location, and employer.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
More about Computer Vision Engineer jobs
What are the most commonly searched types of Computer Vision Engineer jobs in Houston, TX? The most popular types of Computer Vision Engineer jobs in Houston, TX are:
What are popular job titles related to Computer Vision Engineer jobs in Houston, TX? For Computer Vision Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Houston, TX look for? The top searched job categories for Computer Vision Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Computer Vision Engineer jobs? Cities near Houston, TX with the most Computer Vision Engineer job openings:
Computer Vision Engineer jobs near you
Senior AI - Computer Vision Engineer

Senior AI - Computer Vision Engineer

Oxy

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 18 days ago

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower-carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy
Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.
We are looking for an experienced and innovative Senior AI - Computer Vision Engineer to join the AI Center of Excellence (ACE) group based in Houston, TX. This individual contributor 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.
ESSENTIAL JOB 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
  • 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. An equivalent combination of relevant education and experience will be considered.
  • 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

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
Recruitment Fraud
It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy. Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process. All Oxy job postings and offers will require a completed application through our company website.
Oxy does not charge a fee at any stage of the recruiting process. We will never:
• Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
• Use recruiting or placement agencies that charge candidates an advance fee of any kind or
• Request personal information such as passport and bank account details at an early stage of our recruitment process.
We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.
All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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

View All Oxy Jobs

Apply