ZipRecruiter

Log In

1

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

Bot Auto

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in ...

INEOS

IT Systems - Internship

League City, TX · On-site

$12.75 - $17.25/hr

We're a diverse collective, united by a shared heritage and vision. Why Join Us? * Industry Leader ... Bachelor of Science in Information Technology (BSIT), Bachelor of Science in Computer Science (BSCS ...

next page

Showing results 1-20

All JobsComputer Vision JobsInternship Computer Vision JobsInternship Computer Vision Jobs in Houston, TX

Internship Computer Vision information

What is an internship computer vision?

An Internship in Computer Vision involves working on projects related to image processing, machine learning, and AI-driven visual recognition. Interns typically assist in developing algorithms for object detection, image segmentation, and pattern recognition. They may work with deep learning frameworks like TensorFlow or OpenCV to train models on large datasets. This role provides hands-on experience in applying computer vision techniques to real-world problems, preparing interns for careers in AI and machine learning.

What types of projects and daily tasks can I expect during a computer vision internship?

As a Computer Vision intern, you can expect to work on projects involving real-world image and video data, such as developing object detection models, data annotation, and helping improve existing algorithms. Daily tasks often include coding, running experiments, analyzing model performance, and collaborating with data scientists and software engineers. You may participate in team meetings, present your findings, and receive mentorship on best practices in both research and development. This hands-on experience provides a valuable opportunity to build your technical skills and gain insight into how computer vision applications are developed and deployed in industry.

What are the key skills and qualifications needed to thrive in an internship computer vision?

To thrive as an Internship Computer Vision candidate, you should have a solid understanding of image processing, machine learning fundamentals, and proficiency in programming languages such as Python or C++. Familiarity with computer vision libraries like OpenCV, TensorFlow, or PyTorch, as well as coursework or certifications in artificial intelligence, is highly valued. Strong problem-solving skills, willingness to learn, and effective communication abilities are key soft skills that help interns excel. These competencies are essential for contributing to projects, integrating with teams, and adapting to the fast-evolving field of computer vision.

What are the most commonly searched types of Computer Vision jobs in Houston, TX?

The most popular types of Computer Vision jobs in Houston, TX are:

What are popular job titles related to Internship Computer Vision jobs in Houston, TX?

For Internship Computer Vision jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Internship Computer Vision jobs in Houston, TX look for?

The top searched job categories for Internship Computer Vision jobs in Houston, TX are:

What cities near Houston, TX are hiring for Internship Computer Vision jobs?

Cities near Houston, TX with the most Internship Computer Vision job openings:

Internship Computer Vision jobs near you
Infographic showing various Internship Computer Vision job openings in Houston, TX as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Houston, TX • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted 13 days ago

Key responsibilities

  • Participate in the development, training, and optimization of deep learning models for autonomous driving, including perception, online mapping, and planning.

  • Engage in the entire machine learning workflow, from data curation and analysis to model experimentation, hyperparameter tuning, and performance verification.

  • Collaborate with simulation, infrastructure, and planning/control teams to deploy, evaluate, and integrate machine learning components into the autonomous trucks' production pipeline.

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.
#J-18808-Ljbffr

Apply