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

Genia; Los Angeles (CA); On-site; USD 27,552 - 44,083; Part time

Job summary

Genia in Los Angeles, CA, seeks an AI/ML Engineer – Architectural Modeling (Intern) to contribute to computer vision on architectural drawings. You will assist in developing and testing models, preprocess data, and collaborate with senior engineers to integrate results into the Structural AI Agent.

This internship emphasizes hands-on work with CV techniques, deep learning models (CNN, U‑Net, YOLO), and tools like PyTorch, OpenCV, and CAD data formats.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computer Vision, or a related field.
• Experience from courses, internships, or projects in computer vision, image processing, or machine learning is preferred.

Responsibilities

• Assist in developing and testing computer vision models for detecting and segmenting elements in architectural drawings.
• Apply and experiment with classic CV techniques (edge detection, contour analysis, shape recognition) on drawing data.
• Train and evaluate deep learning models (CNN, U‑Net, YOLO, Mask R‑CNN) under 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.

Skills

Python

PyTorch

TensorFlow

OpenCV

NumPy

Pandas

Jupyter Notebook

Git

Shapely

CAD data (DWG/DXF)

Education

Bachelor’s or Master’s in CS/AI/Computer Vision

Tools

DWG

DXF

OpenCV

Job description

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

Los Angeles, CA, USA

Responsibilities

• 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 tointegrate models into our Structural AI Agent.

Qualifications

Education & Background:

• 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 ispreferred.

Computer Vision:

• Familiar with classic CV algorithms (e.g.,contour/edge detection, shape analysis, geometric transformations), preferablywith 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.

Technical Skills:

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

Soft Skills:

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