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Computer Vision Research Assistant 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

Foundational Research Strategy: Define the long-term research agenda for fundamental computer ... assist you.

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Computer Vision Research Assistant information

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$48.3K

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How much do computer vision research assistant jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computer vision research assistant in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Vision Research Assistant, and why are they important?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are Computer Vision Research Assistants?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What are the typical projects and daily tasks for a Computer Vision Research Assistant?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.
More about Computer Vision Research Assistant jobs
What cities are hiring for Computer Vision Research Assistant jobs? Cities with the most Computer Vision Research Assistant 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 Assistant jobs? States with the most job openings for Computer Vision Research Assistant jobs include:
What job categories do people searching Computer Vision Research Assistant jobs look for? The top searched job categories for Computer Vision Research Assistant jobs are:
Computer Vision Research Assistant jobs near you
Infographic showing various Computer Vision Research Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.

Computer Vision Research Engineer

Bobyard

San Francisco, CA • On-site

$241K/yr

Full-time

Re-posted 26 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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