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AI/SWE Intern

Bild AISoftware
Pay
$3K–$10K/month
Work mode
On-site
Internship

San Francisco, CA at a glance

Rent
#2 of 51
$2,680/mo+46% vs US avg
Weather
#17 of 51
295 mild days0 hot · 0 cold
Income tax
#1 of 51
13.3% top rateCalifornia

What you need

JavaScriptPythonReactTypeScriptMachine LearningDeep LearningComputer Vision

Puneet and I (Roop) to tackle the chaos of blueprint reading, cost estimation, and permit applications in construction. It's a gnarly technical challenge requiring cutting-edge computer vision and AI—and we're impact-driven to make building homes, hospitals, and schools faster and cheaper. Featured on Business Insider.

What You'll Do

  • Apply the latest computer vision, LLMs, and AI systems to solve real construction problems
  • Ship prototypes fast and iterate based on user feedback from contractors and architects
  • Build your intern project with sole ownership, from research to production

We want

  • 0-to-1 builder, with your AI in production
  • Growth mindset, slope > y-intercept
  • Direct communication with empathy and honesty. Tell us what energizes and frustrates you
  • Don’t mind schlep. We are regularly knee-deep in the messy, unglamorous work

Bonus points (if any)

  • Applied CV/ML experience
  • Have built something people used/paid for
  • Construction, architecture, or real estate interest
  • Genuinely motivated by making housing and building more affordable

Message with

  • Why you think we're a mutual fit
  • Your favorite fruit (mine is Sitaphal)
  • (Please keep it short)

Logistics

  • SF-based for the course of the internship, we’ll cover logistics

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About Bild AI

Bild AI utilizes artificial intelligence to interpret construction blueprints and extract essential material and cost information for builders, and traditionally, obtaining material and cost estimates from blueprints is a labor-intensive task that requires manual drawing and is susceptible to human error, and this method can be both time-consuming and costly, potentially leading to significant financial losses on projects.

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