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Computer Vision Startup Jobs (NOW HIRING)

Bobyard

Computer Vision Research Engineer

San Francisco, CA · On-site

$241.50K/yr

Bobyard is a company focused on solving complex computer vision problems that streamline ... You read papers, but you ship code. • Startup work ethic: This isn't a research lab or a cushy ...

Homesight Inc

A stealth computer vision & marketing SaaS startup within the UP.Labs portfolio is seeking a proven Lead Account Executive with a track record of excelling in early stage startup environments. As our ...

BrightAI

Senior Computer Vision/AI Engineer

Palo Alto, CA · On-site

$123K - $168.90K/yr

They are seeking a Senior Computer Vision/AI Engineer to develop and deploy next-generation AI ... in startup or high-growth environments building zero-to-one AI solutions. Company : BrightAI ...

Bobyard, Inc

Head of Computer Vision

San Francisco, CA · On-site

$230K - $300K/yr

We've built a high-performing CV team attacking the most non-trivial problems in applied vision ... Startup work ethic : This isn't a cushy big-tech director role. We're at war with manual takeoffs ...

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How much do computer vision startup jobs pay per year?

As of Jun 4, 2026, the average yearly pay for computer vision startup 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 is a Computer Vision Startup job?

A Computer Vision Startup job typically involves developing and deploying AI-powered solutions that enable machines to interpret and analyze visual data. Roles in this field may include research, software engineering, data annotation, and model training. Employees often work with deep learning frameworks, image processing techniques, and large datasets to improve computer vision algorithms. Since startups emphasize innovation, team members are expected to be adaptable, collaborative, and proactive in problem-solving.

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

To thrive in a Computer Vision Startup, a strong background in computer science, machine learning, and image processing, typically supported by experience with deep learning frameworks and advanced mathematics, is essential. Proficiency with tools such as Python, OpenCV, TensorFlow, and PyTorch, as well as experience with cloud platforms and MLOps, are typically required. Strong problem-solving abilities, adaptability, and effective communication skills are valuable soft skills for navigating the dynamic environment of a startup. These competencies enable rapid innovation, effective teamwork, and successful development of cutting-edge vision applications in a competitive tech landscape.

What are some common day-to-day responsibilities for professionals working at a Computer Vision Startup?

Day-to-day responsibilities at a Computer Vision Startup often include researching and prototyping new algorithms, training and evaluating deep learning models, and collaborating closely with multidisciplinary teams such as product managers and software engineers. You may also be involved in data collection, preprocessing, performance benchmarking, and deploying models to production environments. Regular participation in code reviews, sprint planning, and technical discussions is common. This dynamic environment encourages rapid iteration and creative problem-solving as you help bring innovative computer vision solutions to market.
More about Computer Vision Startup jobs
What cities are hiring for Computer Vision Startup jobs? Cities with the most Computer Vision Startup job openings:
What states have the most Computer Vision Startup jobs? States with the most job openings for Computer Vision Startup jobs include:
What job categories do people searching Computer Vision Startup jobs look for? The top searched job categories for Computer Vision Startup jobs are:
Computer Vision Startup jobs near you
Infographic showing various Computer Vision Startup job openings in the United States as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 80% Physical, 2% Hybrid, and 18% 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

$241.50K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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 11-50 employees. The company is currently Early Stage.

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