Machine Learning Engineer Intern (Computer Vision & AI)

CYNAPSE PTE. LTD.; Singapore; On-site; SGD 10,000 - 17,000; Part time

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

About cynapse.ai

cynapse.ai is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, cynapse.ai serves clients worldwide, redefining what's possible with video intelligence.

The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with afocus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Internship Intake Periods

We are currently seeking interns for:

• August 2026 – February 2027 (Immediate Start)
• December 2026 – June 2027

Requirements

• 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).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Available to commence a minimum 6-month internship in either (1) August 2026 or (2) December 2026 / January 2027.
• Commitment: 4–5 days per week (5 days preferred)
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

Join Us In Shaping the Future of Video Intelligence!

Check out our Careers page at [ https://www.cynapse.ai/careers/ ] for the latest internship and full-time openings.