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Internship Machine Vision Engineer Jobs in Berkeley, CA

Kargo

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes ... Collaborate cross-functionally with engineering and product teams to deliver production-ready ...

Kargo

Senior Software Engineer, Edge

San Francisco, CA · On-site

$144K - $190K/yr

Build high-performance C++ systems for machine vision and AI on edge devices, processing gigabytes ... Collaborate cross-functionally with engineering and product teams to deliver production-ready ...

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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 Aug 18, 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.

What are popular job titles related to Internship Machine Vision Engineer jobs in Berkeley, CA?

For Internship Machine Vision Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Internship Machine Vision Engineer jobs in Berkeley, CA look for?

The top searched job categories for Internship Machine Vision Engineer jobs in Berkeley, CA are:

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.

Staff Machine Learning Engineer, Computer Vision

Jobtailor

San Francisco, CA • On-site

$150 - $220/hr

Other

Posted 13 days ago

Job description

Responsibilities
  • Prototype state-of-the-art visual encoders that power Pinterest's recommender systems and internal visual language models.
  • Experiment with billion‑scale datasets and gain hands‑on experience with large-scale GPU computing.
  • Build flexible visual reasoning tools such as composed image retrieval, promptable detection/segmentation, and instruction‑tuned embedding and generative models.
  • Read research papers, participate in group discussions, and help brainstorm the company's overall visual generative strategy.
  • Help collect relevant visual instruction training data that can be shared across multimodal representation, composed image retrieval, text-to-image generation and visual language modeling.
  • Publish and share your work through conferences, paper submissions, and blog posts.
  • Mentor junior researchers and research interns within the Pinterest Labs organization.
Requirements
  • Experience building and training computer vision models.
  • Experience with multimodal representations and visual language modeling is strongly preferred.
  • A track record of research contributions (e.g., publications, open-source work) and/or shipping ML models to production.
  • Hands‑on experience with large-scale model training and modern deep learning frameworks (e.g., PyTorch).
  • Strong collaboration skills and a demonstrated ability to work effectively in a small, fast‑moving team.
  • M.S. or Ph.D. in Machine Learning or related academic areas, or equivalent work experience.
  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
Core Competencies

Demonstrates expertise in building and training computer vision models, with a strong focus on multimodal representations and visual language modeling. Proven ability to collaborate effectively in fast‑paced environments and contribute to research through publications and mentorship.

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