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Contractual Computer Vision Engineer Jobs in Houston, TX

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

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

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

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

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

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

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

Senior AL/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Build applications leveraging Natural Language Processing (NLP) and Computer Vision. Collaborate ... Qualifications Bachelor s or master s degree Computer Science, Engineering, or related field.

... and computer vision-enabled solutions . This role partners across Engineering, Product, QA, Security, and external partners to drive predictable delivery, ensure release readiness, and uphold ...

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Showing results 1-20

Contractual Computer Vision Engineer information

See Houston, TX salary details

$46.3K

$116K

$131.3K

How much do contractual computer vision engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for contractual 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 is the difference between Contractual Computer Vision Engineer vs Contractual Machine Learning Engineer?

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

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 Contractual Computer Vision Engineer jobs in Houston, TX? For Contractual Computer Vision Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Contractual Computer Vision Engineer jobs in Houston, TX look for? The top searched job categories for Contractual Computer Vision Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Contractual Computer Vision Engineer jobs? Cities near Houston, TX with the most Contractual Computer Vision Engineer job openings:

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX

Other

Posted 4 days ago


Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow

This matters as much to us as what you'll ship.

  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
QualificationsRequired:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.