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Internship Machine Vision Engineer Jobs in Berkeley, CA

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Nexxa is building the best AI systems for heavy industries - enabling machines, systems and ... Role Overview We are looking for an AI Vision Engineer to help design, build, and deploy next ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

Nexxa is building the best AI systems for heavy industries -- enabling machines, systems and ... Role Overview We are looking for an AI Vision Engineer to help design, build, and deploy next ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$121K/yr

With global departments dedicated to research and development in computer vision, machine learning ... Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for ...

Pano

AI/Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

... internships or research) in software engineering, machine learning, or computer vision. * Experience with Python and deep learning frameworks such as PyTorch. * Understanding of machine learning ...

Kargo

Software Engineer, Edge

San Francisco, CA

Collaborate with senior engineers to improve the reliability, performance, and scalability of our ... projects, internships, or research in one or more of the following: computer vision, machine ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Dexterity

Senior Computer Vision Engineer

Redwood City, CA · On-site

$160K - $200K/yr

In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and ...

Kargo

Software Engineer, Edge

San Francisco, CA · On-site

Collaborate with senior engineers to improve the reliability, performance, and scalability of our ... projects, internships, or research in one or more of the following: computer vision, machine ...

Neuralink

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

... machine vision algorithms, smart glasses, and eye tracking technology * Run and support research sessions in coordination with software engineers, field engineers, and animal specialists * Present ...

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All JobsMachine Vision Engineer JobsInternship Machine Vision Engineer JobsInternship Machine Vision Engineer Jobs in Berkeley, CA

Internship Machine Vision Engineer information

See Berkeley, CA salary details

$16

$31

$47

How much do internship machine vision engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for internship machine vision engineer in Berkeley, CA is $31.12, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $35.34 per hour, depending on experience, location, and employer.

What does an internship machine vision engineer do?

An Internship Machine Vision Engineer assists in developing and implementing computer vision algorithms to enable machines or robots to interpret visual data. Their tasks often include image processing, object detection, camera calibration, and working with various sensors. Interns typically support senior engineers in testing, data collection, and model optimization, gaining hands-on experience with real-world applications. This role offers valuable exposure to fields like automation, robotics, and artificial intelligence, helping interns build a foundation for a career in machine vision.

What types of projects do internship machine vision engineers typically work on, and how do they collaborate within the team?

As an Internship Machine Vision Engineer, you will often be involved in projects that focus on developing and testing computer vision algorithms, working with image processing tools, and supporting the integration of machine vision systems into larger automation solutions. You’ll collaborate closely with senior engineers, software developers, and sometimes hardware teams to validate solutions and troubleshoot issues. Regular meetings, code reviews, and shared project management tools help ensure smooth communication and learning opportunities, fostering both technical growth and teamwork.

What are the key skills and qualifications needed to thrive as an internship machine vision engineer, and why are they important?

To thrive as an Internship Machine Vision Engineer, you generally need a background in computer science, electrical engineering, or a related field, with foundational knowledge in image processing and computer vision algorithms. Familiarity with programming languages such as Python or C++, experience with tools like OpenCV, and exposure to machine learning frameworks are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are the soft skills that set outstanding candidates apart. These competencies are crucial for efficiently developing, testing, and deploying vision solutions that address real-world automation and inspection challenges.
Internship Machine Vision Engineer jobs near you
Infographic showing various Internship Machine Vision Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $64,732 per year, or $31.1 per hour.

Robotics Vision Engineer

San Ramon, CA • On-site

Brachium
See more jobs at Brachiumexternal

Full-time

Re-posted 18 days ago

Job description

Job Description - Robotics Vision EngineerTitle

Robotics Vision Engineer

Company Description

We are a 3-year-old dental robotics startup in the San Francisco bay area. We're technologists, scientists and artists. We're startup veterans with backgrounds in healthcare, robotics and consumer electronics. We are developing groundbreaking technologies that will transform a whole industry segment. We love what we do and we have fun at it. We work in a laid-back, flat hierarchal company structure. We're passionate about building an outstanding company and products that change consumer experiences.

Job Description

We're looking for an experienced, detail-oriented individual to join our team and work in a startup environment. This is an opportunity to apply your cross-functional skillsets, creativity and experience in computer vision, machine learning, robotics and control systems to solve exciting product development challenges. This is a high-visibility position within our fast-growing company and assumption of increased responsibilities over time is expected.

Essential Job Duties and Responsibilities
  • Develop and test vision algorithms to control robots and advanced hardware systems created for human interaction environments
  • Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices
  • Port, implement, and optimize analytics and machine learning algorithms using special purpose computing architectures
  • Propose and implement creative, efficient solutions for vision and control problems, and contribute to expanding our intellectual property portfolio
  • Perform technical performance benchmarking and analyses to support engineering decisions
  • Determine project specifications and project schedule by studying product requirements and specifications, calculating time requirements and sequencing project elements
  • Assist in installation and running of product demonstrations
  • Debugging with no additional support.
  • Participate in design reviews
  • Documentations for design control
Skills & Experience
  • Fluency in C++, OpenCV and PCL
  • Experience in 3D computer vision and video analytics algorithms, such as image segmentation, 3d reconstruction, object and motion detection, tracking and classification
  • Experience in machine learning algorithms for vision problems, including deep learning.
  • Experience in real-time video analytics pipeline
  • Experience in robotics desirable
  • Knowledge of internal hardware, 3D camera designs, design logic, and camera logic
  • Preferable development experience in a regulated environment (healthcare, automotive, etc.)
  • Effective documentation practices and experience writing reports and protocols
  • High level of technical aptitude and understanding of system design
  • Microsoft Office and technical presentation skills
Passions
  • Technical: engineering reliable, safe, efficient products
  • Design: Building great consumer experiences
  • Innovation: Seeing the world differently and generating solution
  • Contribution: Building something that serves humanity
  • Learning organization: highly engaged team member
  • Entrepreneurial: sees challenges, opportunities for improvement, and adaptability
Qualifications
  • B.S., M.S. or Ph.D. and 5+ years of work in computer vision, software or related field
  • Strong competencies in algorithms and software design optimized for embedded systems
  • Working experience in algorithm optimization for embedded hardware platforms
To Apply
  • Please submit a current resume and links to any additional information such as online portfolio, projects, GitHub, LinkedIn, etc.
Employment Type: FULL_TIME

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