About Spacial:

At Spacial, we’re redefining how engineering teams deliver building plans.

Our platform serves as your AI-powered engineering partner for structural and MEP (mechanical, electrical, plumbing) design. We combine AI-driven models with licensed engineers to deliver coordinated, stamped plans that pass city reviews faster — all in one place.

From structural, mechanical, electrical, and plumbing, to Title 24, Spacial streamlines the entire engineering process into a single intelligent workflow.

The result: cleaner installs, faster approvals, and happier architects and builders.

About the Roll:

We are seeking a highly innovative AI Researcher

to conduct fundamental and applied research, pioneering the next generation of Generative AI solutions. This role is focused on the theoretical and practical advancement of Large Language Models (LLMs), agent-based architectures, and novel algorithms to create transformative solutions for the construction and design industry. You will be responsible for conducting rigorous experimentation, contributing to the research roadmap, and translating groundbreaking research insights into real-world applications.

What You'll Do

• Conduct research, design, and implement novel Generative AI systems using LLMs, vision-language models, and advanced agentic frameworks (e.g., LangChain, LlamaIndex).
• Develop and optimize cutting-edge algorithms and methodologies for LLM fine-tuning, retrieval-augmented generation (RAG) optimization, and advanced context engineering.
• Perform rigorous experimentation and evaluation of novel GenAI-powered solutions to push the boundaries of model efficiency, performance, and robustness.
• Collaborate closely with engineering teams to guide the technical translation of research prototypes into production-grade, high-impact AI products.
• Contribute to the long-term AI research direction for the company, staying at the forefront of emerging techniques and academic breakthroughs.
• Develop and implement computer vision algorithms that significantly enhance the performance and functionality of our product.

What You Bring

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field (Mathematics, Physics, Electrical Engineering, Computational Biology, etc.).
• Minimum of 5+ years of combined experience in AI/ML research and development, with a deep focus on Generative AI, LLMs, and Deep Learning.
• A strong, demonstrable track record of research impact, including a history of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL) or significant open-source contributions/patents in AI/ML.
• Expertise in the theory and practical application of LLM fine-tuning, advanced RAG architectures, and complex agentic systems.
• Exceptional proficiency in Python and deep expertise with major ML/Deep Learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers).

Nice to Have

• Experience with multimodal AI (vision-language models, diffusion models).
• Familiarity with the challenges and real-time considerations for managing AI workloads in a production environment.
• Knowledge of parallel computing and optimization techniques for large-scale model training and inference.

If you are a pioneering researcher passionate about pushing the theoretical and practical boundaries of Generative AI, we would love to hear from you.