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Contractual Computer Vision Deep Learning Engineer Jobs in Tomball, TX

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Talentry, LLC

Be Seen First

Machine Learning Guru (Autonomous Navigation)**

Houston, TX · Remote

$200K - $300K/yr

Explore new ideas using deep learning, neural networks, and large foundation models. * Work on ... D. or Master's) in computer science, computer engineering, mathematics, physics, or related field.

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

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

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

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

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

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

bp

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Role Summary We are looking for a Senior Machine Learning Engineer who combines deep machine ... Computer Science, Mathematics, Physics, Engineering, or related discipline). * Hands-on experience ...

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Contractual Computer Vision Deep Learning Engineer information

See Tomball, TX salary details

$18

$56

$77

How much do contractual computer vision deep learning engineer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for contractual computer vision deep learning engineer in Tomball, TX is $56.42, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $62.79 per hour, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle some tasks, MLEs are essential for creating and maintaining complex systems. AI may augment their work, but it is unlikely to fully replace the need for skilled professionals who understand data, algorithms, and deployment environments.

What engineers make $300,000 a year?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-demand industries such as autonomous vehicles, AI research, or tech giants. Compensation often includes base salary, bonuses, and stock options, and typically requires advanced degrees and a strong track record of project success.

What engineer makes $500,000 a year?

A Contractual Computer Vision Deep Learning Engineer can earn $500,000 or more annually, especially with extensive experience, specialized skills in deep learning frameworks like TensorFlow or PyTorch, and working on high-impact projects for leading tech companies or research institutions. Such roles often require advanced degrees, strong programming skills, and a track record of successful deployments in AI applications.

What engineers make $200,000 a year?

Senior computer vision deep learning engineers with extensive experience, advanced skills in neural networks, and proficiency in frameworks like TensorFlow or PyTorch can earn $200,000 or more annually. These roles often require a strong educational background, specialized certifications, and work in high-demand industries such as technology, autonomous vehicles, or healthcare AI.
What cities near Tomball, TX are hiring for Contractual Computer Vision Deep Learning Engineer jobs? Cities near Tomball, TX with the most Contractual Computer Vision Deep Learning Engineer job openings:
Contractual Computer Vision Deep Learning Engineer jobs near you

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX • On-site

Other

Posted 5 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.

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