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# Founding Engineer

- **Company:** ONE STOP COLLECTIBLE CORP
- **Location:** San Francisco, CA, United States
- **Salary:** $120,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Application Layers, Computer Vision, Python (Programming Language), Machine Learning, Software Deployment, Large Language Models, Deep Learning
- **Published:** October 8, 2026
- **Apply:** https://startup.jobs/founding-engineer-applied-ai-clera-10303059

## About the Role

* Hands-on applied computer vision and machine learning experience, including Python and deep learning; candidates across experience levels are considered, from 0 to 10+ years.
 * Experience taking an AI system from an initial concept to production deployment.
 * Strong problem-solving ability, a growth mindset, and comfort tackling ambiguous challenges and practical early-stage work.
 * Clear, empathetic, and candid communication, including openness about what is and is not working.
 * Motivation to help make housing more affordable through improved construction workflows.
 * Construction or social-impact experience is helpful, as is having built a product or tool that people adopted or paid for.
 * Must be a US citizen and able to work full-time in the San Francisco office or relocate.

## Description

Join an early-stage construction technology team as its founding applied AI engineer. You will build the intelligence layer behind tools that interpret construction blueprints and support faster, more efficient project estimation, with a focus on turning computer vision and AI research into useful prototypes., * Develop and improve computer vision, machine learning, and AI systems, focusing on the intelligence layer rather than the application layer.

 * Evaluate and apply current computer vision models, large language models, and other AI approaches to challenging construction data problems.
 * Build and ship initial prototypes quickly, then refine them using feedback from users.
 * Contribute pragmatically to early-stage product work beyond core modeling when needed.