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Computer Vision Engineer Intern Jobs (NOW HIRING)

Sidglobal

Computer Vision Engineer

Bellevue, WA · On-site

$150 - $200/hr

Bellevue, United States | Posted on 04/07/2026 Weare seeking a highly skilled and innovative Computer Vision Engineering to leadthe lifecycle of complex cross-functional projects within our North ...

Augusta Hitech

$125 - $150/hr

C++, Computer Vision, PyTorch, Tensor Country: United States Role Summary We are seeking a highly skilled Computer Vision Engineer to design, develop, and deploy real-time defect detection systems ...

Compunnel

Computer Vision Engineer

Chicago, IL · On-site

$114K - $135K/yr

The Computer Vision Engineer will lead the end-to-end development of AI models and production-ready solutions for sustainability claim verification. The role combines computer vision, YOLO-based logo ...

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$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

Sunnyvale, CA

$121K/yr

Computer Vision Engineer Responsibilities: * Design and develop novel calibration algorithms for sensors and displays * Design and prototype automation for calibration in collaboration with ...

MOLG Inc.

Computer Vision Engineer

Sterling, VA · On-site

$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.

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 ...

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 ...

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 ...

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 ...

Observable

$150 - $200/hr

About The Role We are seeking a highly experienced and motivated Computer Vision Engineer to join our dynamic team. Join a rockstar team of experienced entrepreneurs, engineers, scientists and ...

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 ...

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 ...

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Computer Vision Engineer Intern information

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

As of Sep 9, 2026, the average hourly pay for computer vision engineer intern 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 a computer vision engineer intern do?

A Computer Vision Engineer Intern assists in developing and implementing algorithms that enable computers to process and interpret visual information from the world, such as images or videos. They often work on projects involving object detection, image segmentation, and other tasks related to image analysis and machine learning. Interns usually collaborate with experienced engineers, contribute to codebases, and help test and optimize models for various applications. Their work supports industries like robotics, healthcare, automotive, and more.

What types of projects and tasks can a computer vision engineer intern typically expect to work on during their internship?

As a Computer Vision Engineer Intern, you can expect to be involved in a variety of hands-on projects such as developing image recognition algorithms, annotating datasets, and testing computer vision models for accuracy and performance. Interns often collaborate closely with senior engineers and data scientists, contributing to tasks like data preprocessing, model training, and performance benchmarking. This role offers a great opportunity to gain practical experience with popular frameworks such as OpenCV and TensorFlow, and to develop skills in both research and applied development within interdisciplinary teams.

What are the key skills and qualifications needed to thrive as a computer vision engineer intern, and why are they important?

To thrive as a Computer Vision Engineer Intern, you need a solid background in computer science, mathematics, and image processing, typically supported by coursework or experience in machine learning and programming (Python, C++). Familiarity with frameworks like OpenCV, TensorFlow, or PyTorch, and experience using annotation tools or version control systems is highly valuable. Strong problem-solving, analytical thinking, and the ability to collaborate effectively help interns stand out. These skills and qualities are crucial for developing, testing, and optimizing computer vision models in a fast-paced, team-oriented environment.
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Computer Vision Engineer Intern jobs near you
Infographic showing various Computer Vision Engineer Intern job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Computer Vision Engineer

Bellevue, WA • On-site

Sidglobal
See more jobs at Sidglobalexternal

$150 - $200/hr

Other

Posted 8 days ago

Job description

Bellevue, United States | Posted on 04/07/2026

Weare seeking a highly skilled and innovative Computer Vision Engineering to leadthe lifecycle of complex cross-functional projects within our North AmericaFulfillment Network. This role focuses on designing, developing, andimplementing advanced engineering solutions, integrating IIoT hardware,computer vision, and machine learning to improve material handling, operatorworkflows, and fulfillment processes.

Theideal candidate has a strong background in engineering design, computervision, and applied machine learning, with proven experience drivinglarge-scale projects, collaborating across teams, and delivering impactfuloutcomes in dynamic operational environments.

Key Responsibilities
  • Lead and manage end-to-end life cycles ofcomplex cross-functional projects spanning organizations and geographies,ensuring delivery of impactful business outcomes.
  • Engineering Solutions : Design and develop engineering solutions formaterial handling challenges, considering human–equipment interactions andoperational excellence.
  • IIoT Development : Develop, configure, and implement IIoThardware to enhance equipment, processes, and operator workflows.
  • Simulation & Modeling : Collaborate with Scientists to createadvanced simulation models and perform “what-if” scenario testing to driveoptimal hardware and process solutions.
  • Concept & Design Leadership : Lead concept efforts for optimal solutionsincluding equipment specifications, material flow, ergonomics, associateexperience, operational considerations, and site layout.
  • Vendor & Stakeholder Collaboration : Partner with suppliers, vendors, andinternal teams to deliver innovative solutions with scalability andefficiency.
  • Documentation & Standards : Ensure all solutions are documented withSOPs and/or structured change control, setting standards for engineeringexcellence.
  • Multi-Project Management : Manage multiple initiatives simultaneouslywhile influencing, negotiating, and communicating effectively withinternal and external stakeholders.
  • Thought Leadership : Deliver artifacts (research, schematics,prototypes, 3D models, analysis, test plans, narratives) that setbenchmarks for organizational engineering standards.
  • Consensus Building : Communicate complex ideas clearly, harmonizediverse perspectives, and build consensus to resolve contentious issues.
Must-Have Qualifications
  • Proven experience in computer vision (CV)and machine learning (ML) integration for real-time solutions.
  • Strong coding skills (Python, C++, or similar)with the ability to prototype, test, and deploy ML/CV models in productionenvironments.
  • Demonstrated ability to lead large-scaleengineering projects or device development from concept throughimplementation.
  • Hands‑on experience with IIoT hardwaredesign, configuration, and integration for operational improvements.
  • Strong knowledge of system design, materialhandling, and human–machine interaction principles.
  • Exceptional program management,communication, and stakeholder management skills.
Nice-to-Have Qualifications
  • Advanced Python programming skills fordata modelling, simulation, and rapid prototyping.
  • Experience with system emulation andtesting environments.
  • Strong background in cross-functionalcollaboration within large, fast-paced, and dynamic operationalenvironments.
  • Familiarity with 3D modelling, CAD tools,or hardware prototyping.
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