Founding Engineer, Applied AI
At a glance
Mid-level AI Engineering role at Clera. San Francisco · full-time · $120,000–$180,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and improve the vision and machine-learning systems used to interpret construction blueprints
- Test computer-vision and large-language-model methods on practical construction challenges
- Create early prototypes, then adjust them based on feedback from users
- Pitch in on early product tasks beyond model development when the work calls for it
What you bring
- Hands-on applied experience with computer vision, machine learning, Python and deep learning
- You have moved an AI system from an initial idea through deployment for production use
- You are a U.S. citizen and can work full-time on-site in San Francisco or relocate
Who this fits
This role suits an applied AI engineer comfortable turning early prototypes into dependable tools and working through practical ambiguity. You’ll work on-site full-time in San Francisco; relocation is an option, and U.S. citizenship is required. Visa sponsorship is unavailable.
From the employer
About the Role
Join an early-stage construction technology team developing AI tools for understanding blueprints and supporting project cost estimation. You will focus on the intelligence layer, building computer vision and machine learning systems from prototypes into dependable tools that improve construction workflows.
What You'll Do
Develop and improve the computer vision, machine learning, and AI systems that power blueprint analysis.
Explore and apply current computer vision and large language model techniques to practical construction problems.
Build initial prototypes quickly, then refine them using user feedback.
Contribute pragmatically to early-stage product work beyond core model development when needed.
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 an early concept through production deployment.
Strong problem-solving skills, a growth mindset, and comfort working through ambiguous, practical challenges.
Clear, empathetic communication and willingness to be candid about results.
Interest in improving housing affordability and construction workflows.
Construction or social-impact experience, or having built a product adopted or paid for by users, is a plus.
Must be a U.S. citizen and able to work full-time on-site in San Francisco, or relocate.
Compensation & Benefits
Base salary: $120,000 to $180,000 annually. Visa sponsorship is not available.
Location
On-site in San Francisco, California, United States.
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