Machine Learning Engineer Intern (Computer Vision & AI)

About the role

CYNAPSE is looking for a hands‑on Machine Learning Engineer Intern to join its Model Engineering Team. You will work on cutting‑edge computer‑vision projects, training and fine‑tuning deep‑learning models that power video‑intelligence solutions for complex environments.

Key responsibilities

• Train, evaluate and improve deep‑learning models for classification, object detection, segmentation and action recognition.
• Research and experiment with CNNs, Transformers and Foundation Models to enhance zero‑shot and open‑vocabulary detection.
• Debug model failures and refine data through targeted annotation, cleaning and inference strategies.
• Manage large‑scale datasets, including preprocessing, versioning and reproducible experiment tracking.
• Contribute to automated training and evaluation pipelines to boost reliability and deployment efficiency.

Required profile

• Enthusiastic builder who prefers practical implementation over pure theory.
• Curious experimenter who enjoys iterating on architectures, hyper‑parameters and datasets.
• Analytical problem‑solver who investigates root causes of model performance issues.
• Fresh or entry‑level candidate eager to learn in a fast‑paced AI environment.

Required skills

• Deep learning
• CNNs
• Transformers
• Foundation Models
• Object detection
• Segmentation
• Action recognition
• Data preprocessing and versioning

What we offer

• Mentorship from experienced AI engineers.
• Exposure to production‑grade vision AI systems.
• Competitive monthly stipend (SGD 1,100‑1,500).
• Opportunity to contribute to real‑world video intelligence solutions.