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Computer Vision Research Jobs (NOW HIRING)

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 ...

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

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

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

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

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

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

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

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

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

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 information

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How much do computer vision research jobs pay per hour?

As of Jul 21, 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.

More about Computer Vision Research jobs
What cities are hiring for Computer Vision Research jobs? Cities with the most Computer Vision Research job openings:
What are the most commonly searched types of Computer Vision Research jobs? The most popular types of Computer Vision Research jobs are:
What states have the most Computer Vision Research jobs? States with the most job openings for Computer Vision Research jobs include:
Infographic showing various Computer Vision Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.

Computer Vision Research Engineer

Bobyard

San Francisco, CA • On-site

$241K/yr

Full-time

Re-posted 2 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.