Join the core technical team building AI-driven design systems that automate architectural and engineering workflows. You will develop models across vision, language, and spatial reasoning to deliver engineering outputs 10x faster than traditional firms. This high-ownership role bridges research and production, impacting real-world, mission-critical infrastructure projects at an industry-disrupting scale.
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Machine Learning Scientist at Hedral Inc.
Join a core technical team redefining the $10T AEC industry. Backed by Khosla Ventures and Valor Equity Partners, this AI-native startup is building the future of automated building design. As a Machine Learning Scientist, you will develop systems across LLMs, spatial reasoning, and 3D geometric deep learning to automate complex engineering tasks 10x faster than traditional firms. If you are a research-caliber engineer ready to ship high-stakes models that design the physical world, this is your chance to own the technical foundation of a market-disrupting platform.
About this role
Role overview
About the company
Hedral Inc. is a technology-enabled architectural, engineering, and construction (AEC) design firm that uses artificial intelligence and automation to transform building design and structural engineering workflows.[2][3][5][7] The company focuses on automating the steps required to produce structural engineering outputs such as stamped drawings and 3D building models, enabling real estate developers and other clients to obtain designs significantly faster and at lower cost compared to traditional firms.[3][5] By supercharging domain experts with cutting-edge technology, Hedral aims to establish a new standard for building architecture and construction design, helping clients arrive at optimal outcomes within the constraints of physics, function, aesthetics, and environmental impact.[2][3][5][7] Its solutions target faster project delivery, reduced environmental footprint, and increased efficiency across the building design and engineering process.[3][5][7]
What you'll do
What you will do
- Design and deploy machine learning models, including LLMs, VLMs, and GNNs, to reason over complex architectural plans and 3D spatial data.
- Develop and train surrogate models for structural and MEP simulations to drastically accelerate the evaluation of automated design iterations.
- Implement reinforcement learning and optimization systems to solve high-consequence, combinatorial design problems in real-world engineering contexts.
Who you are
Who this is a fit for
- Holds a Master's or PhD in ML or CS with 3+ years of experience shipping production-ready systems at companies like Tesla, Meta, or OpenAI.
- Demonstrates deep proficiency in PyTorch and modern ML techniques, including generative AI, multimodal systems, or geometric deep learning.
- Possesses a research-caliber background with a track record of independent problem-solving in ambiguous, high-stakes technical environments.
Why this role
Why this role is remarkable
- Work at the intersection of AI and physical engineering, building foundation models that directly design the built environment and mission-critical facilities.
- Join an elite technical team backed by top-tier investors including Khosla Ventures, Valor Equity Partners, and Tishman Speyer.
- Take massive ownership over a research-to-production pipeline, where every project feeds back into your models to redefine an entire $10T global industry.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.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.
I recruit from Jack’s network and make the intro when I spot a great match.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.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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.