Video Intelligence ML Engineer Intern: CV & Open-Vocabulary

CYNAPSE PTE. LTD.

Singapore

On-site

SGD 10,000 - 17,000

Part time

14 days+
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Job summary

cynapse.ai offers an internship as a Machine Learning Engineer Intern in Singapore. You will join the Model Engineering Team to work on Computer Vision, deep learning model training, and scaling real-world vision systems.

You will collaborate with experienced engineers on production-grade models, exploring zero-shot and open-vocabulary architectures while driving measurable performance improvements in a hands-on environment.

Qualifications

  • Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
  • Strong interest in deep learning model training, experimentation, and data-centric AI.
  • Proficiency in Python and experience with PyTorch or TensorFlow.
  • Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Responsibilities

  • Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
  • Research and experiment with CNNs, Transformers, and Foundation Models. Explore open-vocabulary detection and zero-shot capabilities.
  • Debug model failures (false positives/negatives) and implement data-centric solutions for robustness.
  • Manage large-scale datasets, preprocessing and versioning to enable reproducible experiments.

Skills

Python
PyTorch
TensorFlow
Linux
SSH

Education

Bachelor's in Computer Science or AI

Tools

Docker
Git
Weights & Biases
MLflow

Job description

cynapse.ai offers an internship as a Machine Learning Engineer Intern in Singapore. You will join the Model Engineering Team to work on Computer Vision, deep learning model training, and scaling real-world vision systems.

You will collaborate with experienced engineers on production-grade models, exploring zero-shot and open-vocabulary architectures while driving measurable performance improvements in a hands-on environment.

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