Deep Learning CV Research Engineer for Industry Projects

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading university of applied learning in Singapore is seeking a Research Engineer to support an industry innovation research project. The role involves developing and optimizing deep learning-based computer vision algorithms, collaborating closely with the Principal Investigator and the research team. Candidates should possess a bachelor's degree in Computer Science or related fields, alongside strong hands-on experience with deep learning frameworks and Python. This position offers a unique opportunity to engage in practical research with industry partners and contribute to impactful projects.

Qualifications

• Hands-on experience with deep learning frameworks.
• Ability to develop, train, and optimize deep learning models.
• Experience in technical writing and research reporting.

Responsibilities

• Manage the research project with the PI and Co-PI.
• Develop deep learning models for object detection.
• Conduct experiments and analyze results.

Skills

Deep learning frameworks (e.g., PyTorch, TensorFlow)

Deep learning models (e.g., YOLO, U-Net, EfficientNet, etc.)

Computer vision techniques and algorithms

Python and libraries (e.g., PyQt, OpenCV)

Education

Bachelor's degree in Computer Science or related field

Master's or PhD degree in relevant areas

Tools

Appropriate deep learning software

NVIDIA Jetson Nano

Job description

A leading university of applied learning in Singapore is seeking a Research Engineer to support an industry innovation research project. The role involves developing and optimizing deep learning-based computer vision algorithms, collaborating closely with the Principal Investigator and the research team. Candidates should possess a bachelor's degree in Computer Science or related fields, alongside strong hands-on experience with deep learning frameworks and Python. This position offers a unique opportunity to engage in practical research with industry partners and contribute to impactful projects.