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

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and ... Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ...

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and ... Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ...

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and ... Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ...

Drone Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Computer vision models * Defect detection * Asset condition monitoring * Digital twin platforms * Work closely with data science teams to operationalize AI models on drone data * Systems Cloud ...

Sr. Manager- AI Products & Solutions

Houston, TX · On-site

$120K - $159K/yr

... Science, and strategic technology partners to deliver innovative, production-ready AI solutions. The successful candidate will identify opportunities to leverage Generative AI, Computer Vision ...

Sr. Manager- AI Products & Solutions

Houston, TX · On-site

$120K - $159K/yr

... Science, and strategic technology partners to deliver innovative, production-ready AI solutions. The successful candidate will identify opportunities to leverage Generative AI, Computer Vision ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Analytics Engineer

Houston, TX · On-site

$119 - $234/hr

... CUDA | Computer Vision | Containerization 401k matching | Company events | Dental coverage ... Pipelines | Data Science | Data analytics 401k | Flexible paid time off | Life insurance ...

Senior Software Engineer

Spring, TX · On-site

$109K - $143K/yr

Computer vision models, * Speech recognition and synthesis, * Audio-video multimodal models * Human ... Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering ...

Showing results 21-40

Computer Vision Scientist information

See Houston, TX salary details

$48.2K

$106.3K

$131.3K

How much do computer vision scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer vision scientist in Houston, TX is $106,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a computer vision scientist?

Computer Vision Scientists are professionals who develop algorithms and models that allow computers to interpret and understand visual information from the world, such as images and videos. They use techniques from machine learning, artificial intelligence, and image processing to solve problems like object detection, facial recognition, and scene understanding. Their work is essential in fields such as autonomous vehicles, healthcare imaging, robotics, and augmented reality. Computer Vision Scientists often collaborate with engineers and domain experts to create practical applications and improve existing technologies.

What are the key skills and qualifications needed to thrive as a computer vision scientist?

A Computer Vision Scientist needs a strong background in mathematics, machine learning, and image processing, often supported by a graduate degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and experience with libraries like OpenCV are typically required. Creative problem-solving, critical thinking, and effective communication help distinguish top performers in this role. These skills are essential for developing innovative computer vision solutions that can be effectively integrated into real-world applications.

What are some common challenges faced by computer vision scientists when deploying models to production environments?

Computer Vision Scientists often encounter challenges such as ensuring model robustness under varying real-world conditions, optimizing inference speed for deployment on resource-constrained devices, and managing large-scale data for continuous model improvement. Collaboration with engineering teams is crucial to integrate models efficiently into existing software pipelines and to address issues like latency and scalability. Additionally, maintaining high accuracy while minimizing false positives and negatives in live environments requires ongoing monitoring and iterative improvement.

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

AspectComputer Vision ScientistMachine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields
Work EnvironmentResearch labs, R&D departments, academiaProduct teams, software development environments
Industry UsageDeveloping algorithms for image/video analysis, object detectionBuilding scalable ML models for various applications including vision

While both roles involve machine learning, Computer Vision Scientists focus on developing algorithms specifically for visual data, whereas Machine Learning Engineers implement and deploy these models in real-world applications. The roles often overlap but differ mainly in their primary focus and work environment.

Infographic showing various Computer Vision Scientist job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $106,329 per year, or $51.1 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 232 frontline employees who took The Breakroom Quiz

70th of 87 rated oil and gas companies


Job description

About us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

About Houston

ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors. 
 

By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company’s ability to attract, develop and retain the top talent in the industry. 
 

The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston. 
 

The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research, and corporate facilities. 
 

Learn more about what we do in Houston here.

What role you will play in our team

We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.

What you will do
  • Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
  • Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.  
Skills & Qualifications
  • PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field.
  • Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
  • Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
  • Hands-on experience with deep learning, including familiarity with a range of architectures (e.g., autoencoder, transformer, diffusion model, GAN) and their application to industrial, engineering, or scientific problems.
  • Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational cost in decision-making processes (e.g., optimization, inverse problems, data assimilation) while maintaining fit-for-purpose accuracy.
  • Experience in formulating and solving convex and PDE constrained optimization problems.
  • Strong proficiency in programming/scripting languages like Python or C++/C#.
  • Proficiency in ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark is a plus.
  • Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
  • Experience working in Linux and High-Performance Computing environment is desirable but not required.
  • Prior experience in the upstream oil and gas industry is an advantage.
  • Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.
Your benefits

An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
 

We offer you: 
 

  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life. 
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match. 
  • Workplace Flexibility: We have several programs such as “Flex your Day”, providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
  • Comprehensive medical, dental, and vision plans. 
  • Culture of Health: Programs and resources to support your wellbeing. 
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you. 
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
     

More information on our Company’s benefits can be found at  www.exxonmobilfamily.com.
 

Please note benefits may be changed from time to time without notice, subject to applicable law.

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Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. 

Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.


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