Generative AI Engineer (Intern) - US

Genia; Los Angeles (CA); On-site; USD 27,552 - 34,440; Full time

Job summary

Genia, based in Los Angeles, invites interns to contribute to the development of Generative AI for Structural CoPilot. You will collaborate on LLM fine-tuning, agent systems, and graph neural networks, while exploring image generation techniques to support design optimization.

Ideal candidates are pursuing CS/AI/ML degrees with coursework in ML, CV, or NLP and a strong interest in applying AI to the architecture, engineering, and construction industry.

Qualifications

• Pursuing a degree in computer science, AI, ML, or related field.
• Coursework or projects in ML, CV, or NLP.
• Experience with LLMs and model fine-tuning is preferred.

Responsibilities

• Assist in fine-tuning and evaluating LLMs for engineering scenarios.
• Develop prototype AI agent systems for reasoning, automation, and tooling.
• Support experiments with graph neural networks on structured data.
• Explore image generation methods for drawing synthesis and optimization.
• Build multi-modal pipelines integrating text, drawings, and data.
• Document workflows, write benchmarks, and report results.

Skills

LLM fine-tuning

Prompt engineering

GNNs

Python

ML frameworks

Education

CS/AI/ML degree

ML/CV/NLP coursework

Tools

PyTorch Geometric

DGL

PyTorch

TensorFlow/JAX

Job description

Generative AI Engineer (Intern) - US

Los Angeles, CA, USA

Responsibilities

• Assist in fine-tuning and evaluating LargeLanguage Models (LLMs) for architecture and engineering scenarios.
• Participate in the research and development of prototype AI agent systems for reasoning, process automation, and tool augmentation.
• 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, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, orarelated 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.

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!