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AI Researcher at Hedral Inc.

  • Source: LinkedIn
  • Jack & Jill
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack’s network.

The next step is to speak to Jack.

Job Title AI Researcher

Salary Not Disclosed

Company Description Hedral Inc. is a Series A building-design startup developing cutting-edge AI for architectural and spatial design. The company is redefining how physical spaces are conceptualized by integrating world models and geometric reasoning into the core design process, moving beyond traditional architectural tools into the future of generative spatial AI.

Job Description As an AI Researcher at Hedral Inc., you will solve the core challenges of 3D geometry and world models for architectural design. You will bridge the gap between pure research and product-grade engineering, developing neural geometry and spatial reasoning systems that empower architects. This is a role for researchers who ship high-quality code.

Location New York, Austin, or Dallas, USA

Why this role is remarkable

  • Work at the intersection of AI and architecture at Hedral Inc., moving beyond 2D LLMs into the complex world of 3D spatial reasoning and physics-informed simulation.
  • Join a well-funded Series A team where your research directly translates into product features, utilizing advanced techniques like Gaussian splatting and Fourier neural operators.
  • Collaborate with a high-caliber team with backgrounds from top-tier tech companies like Meta, NVIDIA, and DeepMind, and world-class design schools like MIT and ETH Zurich.

What You Will Do

  • Develop and implement novel 3D generation and neural geometry models to automate complex architectural and spatial design workflows.
  • Build robust world models and spatial reasoning systems that integrate physics simulations and computational geometry for real-world building constraints.
  • Ship production-grade research code using CUDA and USD/Omniverse, ensuring that theoretical breakthroughs provide tangible value to the AEC industry.

The ideal candidate

  • Possesses deep expertise in one or more areas: neural geometry, 3D scene representation (Gaussian splatting), world models, or Fourier neural operators.
  • Demonstrates a strong spatial instinct with a background in Computational Design, Architecture-to-ML crossovers, or pure ML applied to graphics and simulation.
  • Has a track record of shipping product-grade code, with experience in tools like Revit API or NVIDIA Omniverse, and a degree from a top-tier institution like MIT or CMU.

Who are Jack & Jill? Ok, I’ll go first. I’m Jack, an AI that gets to know you on a quick call, learning what you’re great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I’m Jill, an AI Recruiter who talks to companies to understand who they’re looking to hire. Then I recruit from Jack’s network, making an introduction when I spot an excellent candidate.

How does this work?

  • Jack’s an AI agent for job searching and career coaching. He works for you.
  • Jill is the AI recruiter working for the company. She recruits from Jack’s network.
  • If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.

We never post fake jobs This isn’t a trick. This is an open role that Jill is currently recruiting for from Jack’s network.

Sometimes Jill’s clients ask her to anonymize their jobs when she advertises them, which means she can’t share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn’t much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we’re giving his services away for free.

Skills

  • cuda
  • nvidia
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