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Job description
Responsibilities
We are looking for a Generative AI Engineer / Scientist to help build next-generation AI systems that combine large language models (LLMs), agentic AI, graph neural networks (GNNs), and image generation algorithms. This role is an opportunity to work on real-world applications at the intersection of architecture, engineering, and AI, while shaping the future of generative design.
Design, fine-tune, and optimize large language models (LLMs) for domain-specific applications in architecture and engineering.
Develop agentic AI systems for reasoning, tool use, and workflow automation in structural design tasks.
Apply graph neural networks (GNNs) to structured engineering data, knowledge graphs, and design optimization problems.
Prototype multimodal systems combining text, drawings, and structured design data.
Collaborate with product and engineering teams to integrate generative AI into production-ready AEC workflows.
Stay on top of the latest AI research and propose innovative solutions to push the boundaries of generative design.
Qualifications
EDUCATION & BACKGROUND
Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Strong academic/industrial foundation in deep learning and generative AI models, geometric learning and computational geometry.
CORE EXPERTISE
Hands-on experience with LLMs: fine-tuning, instruction tuning, domain adaptation, or RLHF.
Experience developing agentic systems (e.g., tool-augmented LLMs, reasoning frameworks).
Strong knowledge of graph neural networks (GNNs) using PyTorch Geometric, DGL, or similar.
Skilled in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
Able to navigate ambiguity and adapt effectively to evolving requirements in fast-paced environments.
Preferred Qualities
Track record of publications in top AI/ML/NLP/CV conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, KDD).
Contributions to open-source AI projects or a demonstrable portfolio of generative AI applications.
Experience working with multimodal or AEC-related datasets is a strong plus.
Excited by working in a fast-growing startup environment and contributing to both research and product impact.
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Worksite address
los angeles, CA, 90079, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.