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Internship Computer Vision Jobs in California (NOW HIRING)

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

... computer vision. Candidates must possess an exceptional track record of original research and ... We have a strong internship program and active collaborations with academia. The Media Analytics ...

Sr. CV/ML Scientist

San Diego, CA · On-site

$150K - $180K/yr

Publications at top-tier venues, open-source contributions, research internships, or substantial project experience in computer vision, robotics, or embodied AI. * Hands-on experience deploying or ...

Publications at top-tier venues, open-source contributions, research internships, or substantial project experience in computer vision, robotics, or embodied AI. * Hands-on experience deploying or ...

In our internship program, you will: Join one of our teams, such as Perception, Prediction ... driving, including computer vision, behavior prediction, planning, mapping, and localization.

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Internship Computer Vision information

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 is an Internship Computer Vision job?

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 are the key skills and qualifications needed to thrive in the Internship Computer Vision position, and why are they important?

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 California? The most popular types of Computer Vision jobs in California are:
What job categories do people searching Internship Computer Vision jobs in California look for? The top searched job categories for Internship Computer Vision jobs in California are:
What cities in California are hiring for Internship Computer Vision jobs? Cities in California with the most Internship Computer Vision job openings:
Infographic showing various Internship Computer Vision job openings in California as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution.
AI Project Specialist - Temp/Intern to hire

AI Project Specialist - Temp/Intern to hire

Newegg

Diamond Bar, CA • On-site

$31K - $36K/yr

Temporary, Internship

Re-posted 16 days ago


Newegg rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

  • Apply computer vision techniques to automate warehouse and logistics workflows, such as:
    • Develop and deploy computer vision models for object detection, tracking, and anomaly detection in logistics workflows (e.g., pallet counting, dock monitoring, trailer in/out verification).
    • Build and maintain OCR and document understanding pipelines for extracting structured data from BOLs, ASNs, invoices, packing lists, and other logistics PDFs
    • Integrate camera-based recognition systems (e.g., license plate recognition, packed item verification, activity recognition) into warehouse operations.
  • Collaborate with operations teams to validate AI outputs against real logistics scenarios.
  • Assist in developing prototypes, testing models, and refining algorithms to improve accuracy and efficiency.
  • Support documentation of processes, findings, and best practices for ongoing projects.

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
  • Strong academic or project experience in computer vision, deep learning, or machine learning.
  • Familiarity with libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
  • OCR & Document AI: Tesseract, PaddleOCR, LayoutLM, Donut, or commercial services (AWS Textract, Google Vision, Azure Form Recognizer)
  • Solid programming skills in Python (preferred) or similar languages.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills, with the ability to work closely with both technical and operations teams.

Preferred Skills
  • Prior project or internship experience applying AI/ML in logistics, supply chain, or manufacturing environments.
  • Knowledge of warehouse management systems or logistics processes.

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