AI Engineer (Machine Learning) Intern

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Job Requirements

• Bachelor’s or higher degree in Computer Science, Artificial Intelligence, Mathematics, or related fields;
• Strong theoretical foundation in machine learning, deep learning, and probability/statistics;
• Proficient in Python and major ML frameworks (PyTorch / TensorFlow);
• Hands-on experience in training, fine-tuning, and optimizing models;
• Familiar with mainstream architectures (CNNs, Transformers, Diffusion models, etc.);
• Knowledge of model deployment and inference optimization (ONNX / TensorRT / distributed training);
• Strong engineering mindset, clean coding habits, and ability to work independently.

Preferred Qualifications

• Experience with large-scale model training or multi-modal (vision-language) learning;
• Familiar with distributed or mixed-precision training, LoRA/SFT fine-tuning, or model compression/distillation.
• Knowledge of cloud-based training and deployment (Docker, Kubernetes, AWS, GCP);
• Prior experience contributing to open-source projects, AI competitions (e.g., Kaggle), or academic publications.

Benefits

• Gain hands-on experience in a leading AI company at the forefront of technological advancements.
• Work closely with a diverse team of experts and professionals in the AI industry.
• Opportunity to showcase your skills and potentially secure a future career with the company.
• Official annual leaves and medical leaves given.
• Potential for performance-based incentives and awards, or opportunity to be converted into full time staff.
• Application Instructions
• Please apply for this position by submitting your text CV using InternSG.
• Kindly note that only shortlisted candidates will be notified.
• Apply for this position