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Internship Computer Vision Engineer Jobs (NOW HIRING)

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Computer Vision Engineer Responsibilities: * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices * Collaborate with cross-functional ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/yr

... Computer Engineering, Machine Learning, or equivalent practical experience • Experience shipping ML models to production • Background in computer vision or machine learning, with focus on areas ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA

$110K - $130K/yr

As a Computer Vision Engineer, you will be responsible for: * Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

EE Recruiters

Computer Vision Engineer

Santa Clara, CA · On-site

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial - the computer vision and agentic systems that turn a stream of food waste into operational ...

TEEMA

Computer Vision Engineer

San Diego, CA · On-site

$125K - $130K/yr

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field * 3+ years of computer vision experience in real-time, product-focused environments * Strong ...

Wisconsin

Computer Vision Engineer

Madison, WI

$74K/yr

The Computer Vision Engineer will lead efforts to develop sophisticated image analysis methods and cutting-edge approaches for analyzing optical images of biological samples. This position will ...

New

EE Recruiters

Computer Vision Engineer

Santa Clara, CA

$131K - $155K/yr

... Engineers who are interested in helping us reach our goal to deliver the safest Autonomous Driving System available We have numerous roles across several key teams, including Computer Vision. We are ...

T3i, Inc.

Computer Vision Engineer

San Antonio, TX · On-site

They are seeking a Computer Vision Engineer to develop the Blackfoot's perception and visual autonomy stack, focusing on delivering robust onboard vision capabilities in challenging environments.

Mill

Computer Vision Engineer

San Bruno, CA · On-site

$250K/yr

About the Role We're hiring a Computer Vision Engineer to work on the CV technology behind Mill Commercial -- the computer vision and agentic systems that turn a stream of food waste into operational ...

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Internship Computer Vision Engineer information

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

As of Aug 19, 2026, the average hourly pay for internship computer vision engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does an internship computer vision engineer do?

An Internship Computer Vision Engineer assists in developing and testing algorithms that allow computers to interpret and process visual information from the world, such as images and videos. They often work on tasks like object detection, image classification, and facial recognition using programming languages like Python and tools such as OpenCV or TensorFlow. Interns may also help collect and annotate datasets, run experiments, and analyze results under the guidance of senior engineers. This role is ideal for students or recent graduates seeking hands-on experience in the field of computer vision and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship computer vision engineer?

To thrive as an Internship Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, usually demonstrated through coursework or relevant project experience. Familiarity with programming languages like Python or C++, frameworks such as OpenCV or TensorFlow, and knowledge of machine learning algorithms are commonly expected. Strong problem-solving abilities, attention to detail, and effective teamwork skills help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and optimizing computer vision solutions that address real-world visual data challenges.
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Internship Computer Vision Engineer jobs near you
Infographic showing various Internship Computer Vision Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Computer Vision Engineer

Meta

Burlingame, CA

$183K/yr

Full-time

Re-posted 12 days ago

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 seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production—you'll take ML models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users.
Computer Vision Engineer Responsibilities:
  • Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices
  • Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products
  • Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
  • Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
  • Define technical direction and mentor engineers on ML productization best practices

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or equivalent practical experience
  • Experience shipping ML models to production
  • Background in computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking
  • Experience with model optimization for edge/on-device deployment
  • Track record of cross-functional collaboration to deliver ML-powered features

Preferred Qualifications:
  • Experience deploying ML models on edge devices
  • Experience with gesture recognition, hand tracking, or human pose estimation
  • Background in real-time inference, model compression, or quantization techniques
  • 5+ years of industry experience in machine learning or computer vision
  • MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field
  • Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML

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.
$183,997/year to $257,000/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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