Founding Engineer, Applied AI

Wwshemi; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Wwshemi is building an AI-driven platform in San Francisco to interpret construction plans and streamline project workflows. You’ll advance the intelligence layer, turning early prototypes into dependable systems shaped by user feedback.

The role emphasizes hands-on computer vision and ML work, shipping fast, and collaborating across teams to deliver practical, user-centered solutions that could help make housing more affordable.

Qualifications

• Hands-on CV and ML experience with Python and deep learning.
• Experience taking an AI system from development to production.
• Willingness to work as an early-stage 0-to-1 builder.
• Empathetic, candid communication and growth mindset.
• Interest in using tech to make housing more affordable.

Responsibilities

• Develop computer vision, ML, and AI capabilities for construction plan understanding.
• Explore and apply current CV, LLM, and AI techniques to practical problems.
• Build and ship prototypes quickly, then improve them using user feedback.
• Contribute pragmatically to early product work beyond core modeling challenges.

Skills

Computer vision

Machine learning

Python

Deep learning

Production deployment

Communication skills

Job description

About the Role

Join an early-stage construction technology team building AI systems that interpret construction plans and support faster, more efficient project workflows. You will focus on the intelligence layer, taking computer vision and machine learning prototypes from early research to dependable systems shaped by user feedback.

What You'll Do

• Develop computer vision, machine learning, and AI capabilities for construction plan understanding.
• Explore and apply current computer vision, large language model, and AI techniques to practical problems.
• Build and ship prototypes quickly, then improve them using user feedback.
• Contribute pragmatically to early product work beyond the core modeling challenges.

What We're Looking For

• Hands-on applied computer vision and machine learning experience, including Python and deep learning.
• Experience taking an AI system from initial development through production deployment.
• Comfort working as an early-stage, 0-to-1 builder and taking on practical work outside a narrow modeling focus.
• Empathetic, candid communication skills and a growth-oriented approach to challenging problems.
• Genuine interest in using technology to make housing more affordable.
• Construction or social-impact experience is helpful, as is having built a product or project adopted or paid for by users.

Compensation & Benefits

Base salary: $120,000 to $180,000 annually. Visa sponsorship is not available.

Location

Full-time, on-site in San Francisco, California. Candidates must be able to work in the San Francisco office or relocate.