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

Genia; Singapore; Sur place; SGD 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Opportunity for full-time offer

Hands-on experience at a startup

Résumé du poste

A startup specializing in generative AI is seeking an AI/ML Engineer Intern to assist in developing innovative computer vision models for architectural applications in Singapore. The role offers hands-on experience in training deep learning models and engaging in R&D for next-generation structural AI. Successful candidates will gain a unique opportunity to start their careers in a fast-paced environment, with potential for full-time employment. Candidates currently pursuing a degree in computer science or related fields are encouraged to apply.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in a relevant field, preferably from top-tier universities.
• Experience in computer vision, image processing, or machine learning through courses or internships.
• Familiar with classic CV algorithms and frameworks, especially OpenCV.
• Experience building/training/evaluating DL CV models (CNN, U-Net, YOLO, Mask R-CNN, ViT).
• Knowledge of OCR and text recognition methods is a plus.
• Proficient in Python and at least one ML/CV framework (PyTorch, TensorFlow, OpenCV).
• Experience with Jupyter Notebook, Git, NumPy, Pandas, and Shapely.
• Familiarity with CAD formats (DWG, DXF) or computational geometry is a plus.

Responsabilités

• Assist in developing computer vision models for detecting elements in architectural drawings.
• Train and evaluate deep learning models under the guidance of senior engineers.
• Document processes and collaborate with the team to integrate models.
• 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.

Connaissances

Computer vision techniques

Deep learning models

Python programming

OpenCV

Machine learning frameworks

Formation

Currently pursuing a Bachelor's or Master's degree

Outils

PyTorch

TensorFlow

Jupyter Notebook

Git

NumPy

Pandas

Pandas

Shapely

DWG/DXF CAD familiarity

Description du poste

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

Singapore

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, and possess strong problem-solving skills.
• A good communicator, able to share results andchallenges 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 theopportunity for a full-time offer for outstanding performers.
• Gain front-line, practical experience at a starstartup, not just a "supporting role."
• Your work will be rapidly integrated into product 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!

Apply Now

If you are interested in joining us, send your resume and any other materials to hr [at] genia.design. We look forward to working with you soon!