Mason AI — Founding AI Engineer

United States·San Franciscomid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

generating ideas, implementing them, and rigorously analyzing results on the eval framework. Become a domain expert on the parts of the building code that matter (accessibility,

Technical Tools

Machine Learning EngineerData

Responsibilities

~1 min read

→Spend the majority of your time improving the accuracy of the multimodal blueprint-compliance agents — building autoresearch, improving evals, and running sweeps on experimental features you design.
→Own the full experiment loop: generating ideas, implementing them, and rigorously analyzing results on the eval framework.
→Become a domain expert on the parts of the building code that matter (accessibility, wildland-urban interface, structural and fire safety).
→Wear hats as needed: computer-vision experiments, lightweight data engineering, internal tooling, and webapp improvements.
→Roughly two hours a week of user contact and product dogfooding.

Tech stack: Tech-stack agnostic; TypeScript across front-end and back-end. Modern AI coding tools used throughout.

Requirements

~1 min read

Highly independent and self-unblocking; able to direct your own work with minimal oversight
Fast-moving and prototype-oriented; you ship experiments quickly
Strong evaluation discipline and genuine research taste for high-risk, high-reward work
Either a strong software engineer eager to grow into ML/AI, or an ML/AI engineer who already prototypes fast
Comfortable across the stack (TypeScript front-end and back-end)
Genuinely motivated by the mission of making housing more affordable
Able to work on-site in San Francisco full-time, ~55 hours/week with some weekend availability

Nice to Have

~1 min read

Experience at an autonomous-vehicle company, where rigorous evaluation is second nature
Background in highly regulated applied-AI domains (e.g. medical or legal) where evaluation discipline is critical
Climate-tech or other mission-driven startup experience
Strong academic background
Genuine curiosity for digesting dense technical and regulatory material (building codes, technical diagrams)

What We Offer

~1 min read

✓Work directly on the housing affordability crisis — a rare opportunity in tech

✓Founding-engineer ownership with a meaningful equity stake

✓Join the technical leader in its space, with a demo that gets strong engineers excited

✓Strong comp plus full benefits: free lunch and dinner at the office, fully paid health insurance with $1,000+/yr employer HSA contributions, and commuter and wellness benefits

Location — San Francisco, CA
Work policy — On-site, full-time; ~55 hrs/week with some weekend availability
Compensation — $160,000–$200,000 + 0.5–2% equity
Visa sponsorship — None available; relocation supported
Employment type — Full-time