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Computer Vision Research 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

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

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

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 ...

Motorola

Director of Computer Vision

Florida, NY · 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

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

Director of Computer Vision

Carolina, RI · 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

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 ...

Kitware

Computer Vision Researcher

Clifton Park, NY

$125K - $170K/yr

Team Description: Kitware's computer vision team is a leader in the creation of cutting-edge ... Research and Development Engineers at Kitware also enjoy benefits commonly associated with a ...

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Computer Vision Research information

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How much do computer vision research jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for computer vision research in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Computer Vision Research?

One of the main challenges in Computer Vision Research is dealing with the complexity and variability of real-world data, such as inconsistent lighting, occlusions, or image noise, which can make model development and testing difficult. Researchers also frequently need to stay updated with rapidly evolving algorithms and technologies while managing computational resource constraints. Collaboration with interdisciplinary teams and conveying technical findings to non-experts are important and sometimes challenging aspects of the job. Overcoming these challenges is essential for driving innovation and bringing cutting-edge vision applications to practical use.

What are the key skills and qualifications needed to thrive in the Computer Vision Research position, and why are they important?

To thrive in Computer Vision Research, you need a strong background in mathematics, machine learning, and image processing, usually supported by a graduate degree in computer science or a related field. Familiarity with programming languages such as Python or C++, deep learning frameworks like TensorFlow or PyTorch, and experience with relevant certifications or published research is highly valued. Critical thinking, collaboration, and clear communication are essential soft skills in this role. These skills enable researchers to develop innovative solutions, share insights effectively, and drive progress in advancing computer vision technologies.

What is a Computer Vision Research job?

A Computer Vision Research job involves developing and improving algorithms that enable computers to interpret and analyze visual data from the world. Researchers in this field work on areas such as image recognition, object detection, and scene understanding using techniques from machine learning and deep learning. They experiment with datasets, design novel architectures, and publish findings to advance the state of the art in computer vision. These roles are commonly found in industries like healthcare, robotics, autonomous vehicles, and augmented reality.

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What are the most commonly searched types of Computer Vision Research jobs? The most popular types of Computer Vision Research jobs are:
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Computer Vision Research jobs near you
Infographic showing various Computer Vision Research job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Computer Vision Research Engineer

Bobyard, Inc

San Francisco, CA • On-site

$160K - $200K/yr

Full-time

Posted 20 days ago

Job description

Position Overview
Bobyard solves non-trivial CV problems that move millions of dollars. Contractors burn dozens of hours per project doing takeoffs by hand. We automate it - with models that have to be better than human, on messy real-world drawings.
You'll have founder-level autonomy to design, execute, and iterate. We move at startup speed - no research silos, no "publish and forget." You'll become the world's leading expert on the models you ship. We want world-class ML engineers with product taste and the ability to go heads down and produce exceptional systems.
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.

Desired Attributes
  • Founder-level drive: You own model performance like it's your company. No one tells you what to fix - you already know.
  • Deep CV + DL chops: You've trained models that actually shipped. Segmentation, detection, document AI, vision-language - you've been in the trenches.
  • Production killer: You've put ML into real products with real SLAs. You know the gap between 90% and 99.9% and how to close it.
  • Messy data mindset: Real drawings are crooked, scanned, handwritten, and ugly. You love that. You turn noise into signal.
  • Research-minded, execution-focused: You read papers, but you ship code. You bias to impact over elegance.
  • Startup work ethic: This isn't a research lab or a cushy big-tech role. We're at war with manual takeoffs in a $13T industry. You want that.
  • Learning machine: New architecture on Monday, beating our baseline by Friday. You navigate unknown problem spaces fast.

This is full-time & in-person in the SF Bay Area. Learning rate and dedication beat pedigree. If you can prove you'll ship models our customers trust with million-dollar bids - at the speed and quality the market demands - we want you.

Apply