AI Research Engineer
Company: Muro AI
Location: San Francisco
Posted on: February 18, 2026
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Job Description:
Job Description Job Description About Muro AI Muro AI is
transforming how the $2T construction industry plans and builds.
Founded by Cornell alumni, ex-founders, and former McKinsey
operators, we're building AI agents that automate the most complex,
manual, and costly phase of construction: preconstruction. We move
fast, build with conviction, and obsess over delivering real impact
to the people who build our world. If you want to define how AI
understands and reasons over architectural and design documents at
scale, this is where it starts. Why This Role Exists Crack the
hardest problems in construction tech: enabling AI to deeply
understand architectural documents—and then act on them. We're
building systems that don't just read plans, but reason across them
and execute complex workflows using specialized industry tools.
Shape a category: No one owns "pre-con AI" yet. You'll build the
core research—from document understanding to agentic execution—that
sets the foundation. Move the industry: Your work will help
contractors win multimillion-dollar bids, eliminate scope gaps, and
unlock massive productivity gains. Who You Are A research-minded
builder with 4–6 years of deep technical ML experience. You're
comfortable in the messy 0?1 phase: half-baked specs, ambiguous
problem statements, and solving foundational technical challenges
that will define the next decade of construction AI energize you.
You're curious, rigorous, and want to own hard problems
end-to-end—from research to production. You communicate complex
work clearly to engineers, product, and leadership; you're the
go-to scientist the team turns to when they need to understand
what's possible. Your Mission 1. Build the document understanding
layer that powers everything downstream Create the foundational
multimodal system that all downstream agents depend on. Research
and build models that understand complex construction-specific
documents formats - using custom fine tuned multimodal models and
RAG architectures. Architect pipelines for OCR, image segmentation,
layout analysis, entity resolution, Build rigorous evals and
benchmarks from real-world documents. 2. Push agentic AI into
production Context engineer construction the agent harnesses for
multi-step construction workflows. As well as, architect and expose
novel tools. Own the full path from prototype to deployment
alongside the AI engineering team. 3. Make AI reliable for
million-dollar decisions Build labeled datasets with construction
SMEs. Develop hallucination-detection, confidence calibration, and
evaluation frameworks tailored to the most complex AEC tasks.Who
Should Apply We want research-driven builders who love pairing deep
model work with real customer understanding. You might be: A
Research Engineer/Scientist looking to see your work deployed, not
just published An ML Engineer or Applied Scientist who wants to
push the frontier on multimodal and agentic systems A Software
Engineer who has transitioned into deep AI/ML research and wants to
own problems end-to-end. And wants to productionize their new skill
set. A founding-team caliber engineer eager to tackle the hardest
technical challenges in AEC tech You'll Stand Out If You Have Prior
0?1 or founding-team experience at a startup Experience working
directly with users or in forward-deployed environments Built a
multimodal model or document-understanding pipeline used in
production Hands-on experience with RLHF, DPO, SFT, or
parameter-efficient fine-tuning methods Advanced OCR/CV experience
(layout-aware models, document transformers, segmentation) Designed
or scaled RAG systems for complex, multi-document retrieval
Experience with agentic LLM systems, tool use, or multi-step
reasoning harnesses Background in architectural/engineering
drawings (AEC experience is a plus, not required) Location:
In-person in San Francisco. Relocation provided. Compensation:
$175K–$220K base meaningful equity Compensation Range: $175K -
$220K
Keywords: Muro AI, Sunnyvale , AI Research Engineer, IT / Software / Systems , San Francisco, California