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Computer Vision Intern Jobs in Berkeley, CA (NOW HIRING)

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research ...

Construction Intern

San Francisco, CA

$17.75 - $23.50/hr

Microsoft Office computer skills. * Demonstrated ability to communicate and influence supervisors ... Specific vision abilities include close vision, distance vision, depth perception and the ability ...

Construction Intern

San Francisco, CA

$17.75 - $23.50/hr

Microsoft Office computer skills. * Demonstrated ability to communicate and influence supervisors ... Specific vision abilities include close vision, distance vision, depth perception and the ability ...

AI Developer Intern

San Francisco, CA · On-site

$22.75 - $29.75/hr

Design, build, test, and deploy AI software components including vision models, LLM integrations ... Currently pursuing a bachelor's or master's degree in Computer Science or a related field, with a ...

Showing results 41-60

Computer Vision Intern information

See Berkeley, CA salary details

$23.5K

$109.1K

$220.1K

How much do computer vision intern jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer vision intern in Berkeley, CA is $109,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,201.00 and $163,082.00 per year, depending on experience, location, and employer.

What is a computer vision intern?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

What are some typical projects or tasks a computer vision intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the key skills and qualifications needed to thrive in the computer vision intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

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

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

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

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

Infographic showing various Computer Vision Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $109,109 per year, or $52.5 per hour.

Manufacturing Equipment Engineering Intern

Peak Energy

Burlingame, CA

$19 - $24.50/hr

Internship

Posted 19 days ago


Job description

Manufacturing Engineering Intern 

Location: Burlingame, CA 

Department: Manufacturing Engineering 

Reports To: Manufacturing Equipment Engineering Manager 

Position Type: Internship (3, 6, or 9 months available) Start date fall/winter 2026

About the Company 

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. 

Sodium-Ion is cheap, readily available, and safe, making it a leading contender in a rapidly evolving market. 

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, SunPower, Fluence, and Enovix. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures. 

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. 

About the Job 

Peak Energy is seeking a motivated Manufacturing Engineering Intern to support the development, deployment, and optimization of manufacturing equipment across our current operations and future factory expansions. 

Day to day, you will partner closely with cross-functional teams including Process, Quality, Design, Manufacturing, and Engineering Technicians to help deliver fully operational, production-ready manufacturing lines. This is a highly hands-on role that will give you direct exposure to Peak Energy's work scaling ESS production toward 1 GWh/year capacity by 2027. 

One day you might be helping develop a vision-based inspection system in the lab; another, you could be out on the pilot line working alongside engineers and technicians to troubleshoot equipment, improve tooling, or engineer a manufacturing process that can scale to commercial production. 

You'll have the opportunity to own meaningful projects, solve real manufacturing problems, and see your work move from concept and prototype through deployment on the production floor. 

If you want to actually contribute as part of the team, not just observe from the sidelines, we'd love for you to apply. 

Responsibilities 

  • Support the design, development, installation, commissioning, and continuous improvement of manufacturing equipment. 
  • Own projects end-to-end - such as fixture design, tooling improvements, equipment modifications, or process documentation - with guidance from senior engineers. 
  • Work directly with engineers and technicians to troubleshoot equipment and production issues, identify root causes, and implement improvements. 
  • Support the transition of products and processes from low-volume prototype builds to scalable, full-scale manufacturing. 
  • Collaborate with Process Engineering to refine, industrialize, and deploy scalable manufacturing processes. 
  • Support pilot-line production optimization efforts focused on improving throughput, quality, yield, reliability, and repeatability. 
  • Collect and analyze production and equipment data to identify opportunities for process and equipment improvements. 
  • Participate in hands-on testing, validation, and iteration of manufacturing equipment, fixtures, tooling, and processes. 
  • Collaborate across Manufacturing, Process, Quality, and Design Engineering to ensure equipment and processes are production-ready. 

Minimum Qualifications 

  • Pursuing or recently completed a degree in Mechanical Engineering, Manufacturing Engineering, or a related engineering field. 
  • Strong understanding of mechanical design fundamentals, including materials, GD&T, drafting standards, and engineering calculations. 
  • Experience with mechanical CAD tools such as 3DEXPERIENCE, SolidWorks, Siemens NX, or similar. 
  • Hands-on experience building, testing, troubleshooting, or modifying mechanical systems through coursework, student projects, internships, research, or personal projects. 
  • Strong verbal, written, and presentation skills. 
  • Detail-oriented with the ability to manage multiple tasks in a fast-paced engineering environment. 
  • Available to work onsite in Burlingame, CA for a 3-, 6-, or 9-month internship term. 
  • Eligible to work in the U.S. 

Preferred Qualifications 

  • Previous manufacturing, equipment design, automation, or industrial engineering internship or project experience. 
  • Basic knowledge of machine safety standards and regulatory requirements. 
  • Familiarity with automation architectures, sensors, actuators, controls, and PLC-based systems. 
  • Exposure to Design for Manufacturability (DFM) principles. 
  • Experience designing or fabricating fixtures, tooling, prototypes, or mechanical assemblies. 
  • Familiarity with manufacturing metrics such as cycle time, throughput, yield, OEE, or equipment uptime. 

Peak Energy Core Values 

  • Speed Through Focus: Prioritize what matters most and execute quickly without distractions. 
  • Mission Over Self: Put the company's mission and team success ahead of individual interests. 
  • Face the Brutal Truth: Embrace honesty, even when it's uncomfortable, to make informed decisions. 
  • Be a Good Person: Treat everyone with respect and integrity, fostering a positive and ethical work environment. 

Compensation and Benefits 

The pay for this role is $30-$35/hour. You'll gain hands-on experience with cutting-edge energy storage technology and mentorship from experienced manufacturing engineers while contributing directly to Peak Energy's mission to scale sustainable battery manufacturing. 

At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company's full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.Â