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Internship Machine Vision Engineer Jobs in Berkeley, CA

Meta

Computer Vision Engineer

Menlo Park, CA · On-site

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning ... Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and ...

Meta

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Meta

Computer Vision Engineer

Menlo Park, CA · On-site

$131K - $155K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

Pano

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 ...

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 ...

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... computer vision or machine learning, with focus on areas such as gesture recognition, pose ...

Meta

Computer Vision Engineer

Burlingame, CA

$125K - $148K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role brid.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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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$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.

Computer Vision Engineer

Meta

Menlo Park, CA • On-site

$154K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.
Computer Vision Engineer Responsibilities:
  • Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation
  • Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines
  • Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images
  • Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design
  • Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Background in computer vision, classical image processing, and 2D/3D spatial data analysis
  • Experience with computer graphics, and physics-based/geometric modeling
  • Working knowledge of imaging systems and optics simulation
  • Direct background in machine learning, deep learning, neural networks and similar data-driven techniques
  • Experience mentoring and acting as project technical lead

Preferred Qualifications:
  • Experience with latest graphics techniques such as NERF and Gaussian splatting
  • Experience in eye and face simulation and image generation
  • Knowledge of eye tracking techniques and models
  • Master's or PhD in engineering, physics, or computer science
  • Background in AR/VR
  • Familiarity with procedural rendering engines, ray tracing, and path tracing

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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