AI/ML Engineer – Architectural Modeling (Intern) - US

Responsibilities

Assist in developing and testing computer vision models for detecting and segmenting elements in architectural drawings. Apply and experiment with classic CV techniques (e.g., edge detection, contour analysis, shape recognition) on drawing data. Train and evaluate deep learning models (e.g., CNN, U-Net, YOLO, Mask R-CNN) under the guidance of senior engineers. Support the data preparation pipeline, including DWG preprocessing, rasterization, augmentation, and dataset annotation. Document experimental processes, benchmark results, and share insights with the team. Collaborate with engineers and researchers to integrate models into our Structural AI Agent.

Qualifications

Education & Background:

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computer Vision, or a related field (preference for students from top-tier universities). Experience from courses, internships, or projects in computer vision, image processing, or machine learning is preferred.

Computer Vision

Familiar with classic CV algorithms (e.g., contour/edge detection, shape analysis, geometric transformations), preferably with OpenCV. Experience building, training, and evaluating deep learning CV models (e.g., CNN, U-Net, YOLO, Mask R-CNN, ViT). Knowledge of OCR and text recognition methods is a plus.

Technical Skills

Proficient in Python and at least one ML/CV framework (e.g., PyTorch, TensorFlow, OpenCV). Experience with Jupyter Notebook, Git, NumPy, Pandas, and Shapely. Familiarity with CAD formats (DWG, DXF) or computational geometry is a plus (not required).

Soft Skills

Enthusiastic about the startup environment; able to adapt to a fast pace and uncertainty. Eager to learn, willing to experiment, and possess strong problem-solving skills. A good communicator, able to share results and challenges with the team.

✨Why Join Us?

You will directly participate in the R&D of the next-generation Structural AI Agent for Structural Engineers, with the opportunity for a full-time offer for outstanding performers. Gain front-line, practical experience at a startup, not just a "supporting role." Your work will be rapidly integrated into product 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!