Architectural AI/ML Engineer Intern Shape Future Structures

Genia; Singapore; On-site; SGD 13,000 - 20,000; Full time

Benefits offered by this job

Competitive compensation

Opportunity for full-time offer

Hands-on experience at a startup

Job summary

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.

Responsibilities

• 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.

Skills

Computer vision techniques

Deep learning models

Python programming

OpenCV

Machine learning frameworks

Education

Currently pursuing a Bachelor's or Master's degree

Tools

PyTorch

TensorFlow

Jupyter Notebook

Git

NumPy

Pandas

Job description

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.