Generative AI Engineer / Scientist (US)

Generative AI Engineer / Scientist (US) Los Angeles, CA, USA 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. About Us Established in 2023, Genia is dedicated to empowering the North American real estate market with generative AI. Our product, Structural CoPilot, automates the generation of structural engineering design drawings for the construction sector, enhancing efficiency and quality for engineering design firms and real estate developers. The founding team has a deep background in the architecture and AI industries, with experience from leading internet and architectural engineering companies such as Amazon, Tencent, and ARUP. Team members hold degrees from renowned universities, including Yale, UPenn, Columbia, CMU, Duke, UCLA, and UBC. They have a proven track record of building multiple AI products from the ground up. In early 2024, Genia successfully closed a multi-million dollar financing round with investors including a top-tier Silicon Valley venture capital firm and Europe's largest construction technology fund. We have also established strategic partnerships with several North American architectural engineering firms. The company is in a phase of rapid expansion and offers a competitive compensation package, including equity incentives for outstanding talent. We sincerely invite talented individuals from all backgrounds to join us! Apply Now If you are interested in joining us, send your resume and any other materials to View email address on click.appcast.io. We look forward to working with you soon! Genia