Wildlife Computer Vision Engineer: Real-Time Species ID

SINGAPORE INSTITUTE OF TECHNOLOGY; Serangoon Garden Circus; On-site; SGD 80,000 - 100,000; Full time

Job summary

A university in Singapore seeks a Research Engineer to develop and implement deep learning algorithms for automated wildlife identification. The role involves managing research projects, training models, and collaborating with an interdisciplinary team. Ideal candidates should have a strong background in computer vision and deep learning frameworks like PyTorch or TensorFlow, along with a Bachelor's degree in a relevant field. Experience with cloud platforms and web development is advantageous.

Qualifications

• Strong technical knowledge in deep learning and computer vision.
• Experience with dataset preparation and model performance evaluation.
• Basic familiarity with web/full-stack development.

Responsibilities

• Participate in and manage research projects to ensure timely deliverables.
• Develop and optimize deep learning models for wildlife identification.
• Prepare project documentation and collaborate with industry partners.

Skills

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

Computer vision models for object detection and classification

Python programming

Frontend frameworks (e.g., React, Angular, or Vue.js)

Experience with cloud platforms (AWS, GCP, Azure)

Education

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field

Master's or PhD degree in Machine Learning, Computer Vision, or related areas

Tools

OpenCV

NumPy

Pandas

Matplotlib

Job description

A university in Singapore seeks a Research Engineer to develop and implement deep learning algorithms for automated wildlife identification. The role involves managing research projects, training models, and collaborating with an interdisciplinary team. Ideal candidates should have a strong background in computer vision and deep learning frameworks like PyTorch or TensorFlow, along with a Bachelor's degree in a relevant field. Experience with cloud platforms and web development is advantageous.