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Computer Vision Engineer Intern Jobs in Sunnyvale, CA

AI Vision Engineer

Sunnyvale, CA · On-site

$120 - $190/hr

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

AI Vision Engineer

San Francisco, CA · On-site

$150 - $210/hr

What You'll Do * Design, train, evaluate, and deploy computer vision models for real-world ... Collaborate with product, engineering, and research teams to translate business requirements into ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full ...

Develop and integrate computer vision and ML-based algorithms into the perception stack * Work with ... Strong software engineering skills in C++ and/or Python * Experience integrating perception ...

Showing results 41-60

Computer Vision Engineer Intern information

See Sunnyvale, CA salary details

$15

$29

$45

How much do computer vision engineer intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for computer vision engineer intern in Sunnyvale, CA is $29.83, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $33.85 per hour, depending on experience, location, and employer.

What does a computer vision engineer intern do?

A Computer Vision Engineer Intern assists in developing and implementing algorithms that enable computers to process and interpret visual information from the world, such as images or videos. They often work on projects involving object detection, image segmentation, and other tasks related to image analysis and machine learning. Interns usually collaborate with experienced engineers, contribute to codebases, and help test and optimize models for various applications. Their work supports industries like robotics, healthcare, automotive, and more.

What types of projects and tasks can a computer vision engineer intern typically expect to work on during their internship?

As a Computer Vision Engineer Intern, you can expect to be involved in a variety of hands-on projects such as developing image recognition algorithms, annotating datasets, and testing computer vision models for accuracy and performance. Interns often collaborate closely with senior engineers and data scientists, contributing to tasks like data preprocessing, model training, and performance benchmarking. This role offers a great opportunity to gain practical experience with popular frameworks such as OpenCV and TensorFlow, and to develop skills in both research and applied development within interdisciplinary teams.

What are the key skills and qualifications needed to thrive as a computer vision engineer intern, and why are they important?

To thrive as a Computer Vision Engineer Intern, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or experience in machine learning and programming (Python, C++). Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, and experience using annotation tools or version control systems is highly valuable. Strong problem-solving, analytical thinking, and the ability to collaborate effectively help interns stand out. These skills and qualities are crucial for developing, testing, and optimizing computer vision models in a fast-paced, team-oriented environment.

What are the most commonly searched types of Computer Vision Engineer jobs in Sunnyvale, CA?

The most popular types of Computer Vision Engineer jobs in Sunnyvale, CA are:

What are popular job titles related to Computer Vision Engineer Intern jobs in Sunnyvale, CA?

For Computer Vision Engineer Intern jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Computer Vision Engineer Intern jobs in Sunnyvale, CA look for?

The top searched job categories for Computer Vision Engineer Intern jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Computer Vision Engineer Intern jobs?

Cities near Sunnyvale, CA with the most Computer Vision Engineer Intern job openings:

Infographic showing various Computer Vision Engineer Intern job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $62,047 per year, or $29.8 per hour.

Research Intern, Computer Vision

Attentive

San Francisco, CA • On-site

Other

Posted 2 days ago

New


Job description

About Attentive.ai:
Attentive.ai builds AI for construction and field services. Our takeoff and estimating platform, Beam AI, is used by 1,200+ contractors across the US and Canada and has completed over 500,000 takeoffs. Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
About the Role:
As a Research Intern, you'll work on the computer vision and deep learning that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer.
You'll own one scoped research problem end to end, paired with a senior researcher - framing it, running the experiments, and building a prototype evaluated on real data. It won't be a side project; it'll be something on the team's roadmap.
What You'll Do:
  • Own one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings
  • Train and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings
  • Explore self-supervised and representation learning on our corpus of unlabeled drawings
  • Work with multimodal signals, combining visual layout, geometry, and text
  • Design the evaluation for your problem, and present results to the research team
What We're Looking For:
  • Currently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
  • Strong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)
  • Coursework or project experience in computer vision, image processing, or machine learning
  • Curiosity about applied research and a willingness to iterate quickly on ideas
  • Comfortable working in a fast-paced, startup-like environment with close collaboration
  • Clear written and verbal communication skills
Nice to have:
  • Prior research experience, publications, or projects in computer vision or deep learning
  • Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
  • LLM and NLP experience like structured extraction, retrieval over long documents
  • Experience with cloud environments (GCP, AWS, or Azure)
How We Work:
  • Empirical over theoretical - we'd rather run the experiment than argue about it
  • Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late
  • Research is judged by whether it holds up in front of 1,200 contractors, not by whether it's clever
  • Honest feedback, given directly

Compensation:
The stipend range for this role is 80-90$ per hour. The final offer depends on experience and level.