Responsibilities
- 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.
Qualifications
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.
Apply Now
Submit your resume and a brief note on your background in residential construction sales to hr [at] genia.design.
We look forward to working with you soon!