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Internship Machine Vision Engineer Jobs in Berkeley, CA

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 ...

Mavrx

Algorithm Test Engineer

San Francisco, CA

We are looking for a self directed, critically minded engineer/scientist/statistician to develop and maintain test suites for a line of machine vision and biometrics estimation algorithms.

Mavrx

Algorithm Test Engineer

San Francisco, CA · On-site

We are looking for a self directed, critically minded engineer/scientist/statistician to develop and maintain test suites for a line of machine vision and biometrics estimation algorithms.

Kargo

Senior Software Engineer, Edge

San Francisco, CA

$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 ...

Neuralink

Robot Optics Intern

South San Francisco, CA · On-site

$35/hr

Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical ... Collaborate with engineering teams to evaluate and implement process improvements * Prepare ...

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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

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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.

Senior Computer Vision Engineer

Dexterity

Redwood City, CA • On-site

$160K - $200K/yr

Full-time

Re-posted 19 days ago

Job description

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 their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy.

You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like Pytorch, Tensorflow etc... Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. In addition, a solid grounding in writing optimized code in C++ and Python. Additionally, familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect to this role. 

At Dexterity, our use cases require low latency inference that approaches real time and therefore you must be able to build highly performant models and serving architectures. While an understanding of open source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. The end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview.

About Dexterity
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. 

We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world.   Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities.  Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production.  And did we mention we're customer-obsessed?  Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? 

Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.  We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality!
Required Skills:
  • BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience
  • 5 or more years of related work experience
  • Experience with OpenCV and Open3D
  • Prior experience building, training and deploying production ML models from scratch using PyTorch and Tensorflow
  • Strong knowledge of Modern C++ and Python
  • Experience using profilers and debuggers to optimize code
  • Experience building and maintaining production code
  • Experience with serving architectures like NVIDIA Triton, TorchServe and Tensorflow Serving, Flask and others
  • Strong academic background and knowledge of ML and academic papers
  • Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines
  • Ability to trace and solve problems across interconnected systems, pipelines and applications
  • Experience with Git and modern CI pipelines
Nice to haves:
  • Experience with Docker and Kubernetes
  • Previous startup experience
$160,000 - $200,000 a year
Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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