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Computer Vision Research Intern Jobs (NOW HIRING)

Cesna Group

Computer Vision R&D Engineer

San Diego, CA · On-site

$100K - $200K/yr

We are seeking an Intermediate Computer Vision R&D Engineer to join our team. The candidate will be part of the core team of computer vision engineers. We will be developing new product lines ...

Motorola

Director of Computer Vision

Las Vegas, NV · On-site

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

Florida, NY

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

New York, NY

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

Tennessee, IL · On-site

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

Washington, DC · On-site

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

California, MD · On-site

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

Virginia, IL · On-site

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

Motorola

Director of Computer Vision

Indiana, PA · On-site

Foundational Research Strategy: Define the long-term research agenda for fundamental computer vision capabilities and drive the culture of scientific excellence. * Technical Vision, Engineering ...

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Computer Vision Research Intern information

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How much do computer vision research intern jobs pay per month?

As of Aug 4, 2026, the average monthly pay for computer vision research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What does a computer vision research intern do?

A Computer Vision Research Intern assists in developing and testing algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition, supporting senior researchers in implementing and optimizing machine learning models. Interns may also be involved in collecting datasets, analyzing experiment results, and preparing research documentation. This role is ideal for students or recent graduates with a strong interest in artificial intelligence, programming, and visual data analysis.

What types of projects and collaborations can a computer vision research intern expect during their internship?

As a Computer Vision Research Intern, you will typically work on projects involving image recognition, object detection, or video analysis, often using deep learning frameworks like TensorFlow or PyTorch. Interns usually collaborate closely with senior researchers and software engineers, contributing to model development, data annotation, and experimental analysis. You may participate in regular team meetings, present your findings, and integrate your work into larger research initiatives. This environment provides exposure to cutting-edge technologies and valuable mentorship, laying a strong foundation for future advancement in AI research.

What skills and qualifications are needed to thrive as a computer vision research intern?

To thrive as a Computer Vision Research Intern, you need a solid background in computer science, mathematics, and machine learning fundamentals, often demonstrated by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in using computer vision libraries like OpenCV are typically required. Strong analytical thinking, creativity, and effective communication skills help you solve complex problems and present research findings clearly. These skills and qualities are essential for developing innovative solutions and contributing meaningfully to research projects in a fast-evolving field.
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Computer Vision Research Intern jobs near you
Infographic showing various Computer Vision Research Intern job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Computer Vision Research Engineer

Bobyard

San Francisco, CA • On-site

$241K/yr

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Bobyard is a company focused on solving complex computer vision problems that streamline construction processes. The role involves designing and implementing state-of-the-art models to automate project takeoffs, ensuring high accuracy and performance in real-world applications.
Responsibilities:
• Build SOTA CV models: Detect, segment, OCR, and reason over construction drawings. Accuracy isn’t academic — one mistake costs a customer millions.
• Own end-to-end pipelines: Data ingestion, labeling, training, eval, and low-latency inference. If it doesn’t run in prod, it doesn’t count.
• Scale performance: Accuracy, robustness, latency. Our models face 10,000+ drawing formats and they need to just work.
• Ship to production: Work closely with fullstack and product to integrate models into features customers use daily. No throwaway notebooks.
• Attack failure modes: Dig into real customer data. Find where we break, why we break, and fix it fast.
• Apply research pragmatically: Stay current with the field. Take what works, ship it next week, measure impact.
Qualifications:
Required:
• Build SOTA CV models: Detect, segment, OCR, and reason over construction drawings.
• Own end-to-end pipelines: Data ingestion, labeling, training, eval, and low-latency inference.
• Scale performance: Accuracy, robustness, latency.
• Ship to production: Work closely with fullstack and product to integrate models into features customers use daily.
• Attack failure modes: Dig into real customer data. Find where we break, why we break, and fix it fast.
• Apply research pragmatically: Stay current with the field. Take what works, ship it next week, measure impact.
• Founder-level drive: You own model performance like it’s your company.
• Deep CV + DL chops: You’ve trained models that actually shipped.
• Production killer: You’ve put ML into real products with real SLAs.
• Messy data mindset: Real drawings are crooked, scanned, handwritten, and ugly.
• Research-minded, execution-focused: You read papers, but you ship code.
• Startup work ethic: This isn’t a research lab or a cushy big-tech role.
• Learning machine: New architecture on Monday, beating our baseline by Friday.
Company:
AI cost estimates for construction Founded in 2023, the company is headquartered in Menlo Park, USA, with a team of 51-200 employees. The company is currently Early Stage.

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