·     Assist in fine-tuning and evaluating LargeLanguage Models (LLMs) for architecture and engineering scenarios.

·     Participate in the research and development ofprototype AI agent systems for reasoning, process automation, and toolaugmentation.

·     Support experiments with Graph Neural Networks(GNNs) on structured engineering and design data.

·     Explore and implement image generation methods(e.g., diffusion models, GANs) for drawing synthesis and optimization.

·     Assist in building multi-modal processingpipelines that integrate text, drawings, and structured data.

·     Document experimental processes, write benchmarkresults, and report findings to the team.

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Education& Background:

·     Currently pursuing a Bachelor's, Master's, orPhD degree in Computer Science, Artificial Intelligence, Machine Learning, or arelated field.

·     Have coursework or project experience in MachineLearning, Computer Vision, or Natural Language Processing.

CoreExpertise:

·     Familiarity with Large Language Models (HuggingFace Transformers, fine-tuning, Prompt Engineering).

·     Exposure to Graph Neural Networks (PyTorchGeometric, DGL) in courses or projects.

·     Basic understanding of image generation models(GANs, diffusion models, etc.).

·     Proficiency in Python and at least one major MLframework (PyTorch, TensorFlow, or JAX).

PreferredQualities:

·     Experience in AI/ML-related research,publications, or open-source contributions is a plus.

·     Curiosity about the applications of AI in thearchitecture, engineering, and construction (AEC) industry.

·     Self-motivated, eager to learn, and able toadapt to a fast-paced startup environment.

✨Why Join Us?

·     You will directly participate in the R&D ofthe next-generation GenAI Copilot for Structural Engineers, with theopportunity for a full-time offer for outstanding performers.

·     Gain in-depth, hands-on experience with LLMfine-tuning, agent systems, GNNs, and image generation models.

·     Learn how to apply generative AI to real-worldproblems in the Architecture, Engineering, and Construction (AEC) industry.

·     Learn best practices for data preparation,training pipelines, and model benchmarking.

·     Gain front-line, practical experience at a starstartup, not just a "supporting role."

·     Receive mentorship from senior AI engineers andscientists, accumulating deep knowledge in both AI and the AEC industry.

·     Understand how cutting-edge AI research istransformed into high-impact, practical products.

·     Your work will be rapidly integrated intoproduct prototypes and used by real users.

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