AI​/ML Engineer - Architectural Modeling; Intern

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

Los Angeles, CA, USA

• Assist in developing and testing computer visionmodels 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, includingDWG preprocessing, rasterization, augmentation, and dataset annotation.
• Document experimental processes, benchmarkresults, and share insights with the team.
• Collaborate with engineers and researchers to integrate models into our Structural AI Agent.

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

• 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 isa plus.

• Proficient in Python and at least one ML/CVframework (e.g., PyTorch, Tensor Flow, OpenCV).
• Experience with Jupyter Notebook, Git, Num Py,Pandas, and Shapely.
• Familiarity with CAD formats (DWG, DXF) or computational geometry is a plus (not required).

• Enthusiastic about the startup environment; ableto 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.