Generative AI Intern

Location: Singapore Razer AI Center

Company

Razer is a global gaming technology company developing products and software for gamers worldwide.

What you will do

• Prepare and validate datasets for language model fine-tuning and evaluation.
• Fine-tune large language models using LoRA, supervised fine-tuning, and preference optimization.
• Support distributed training and experimentation with PyTorch, Hugging Face, Ray, or DeepSpeed.
• Benchmark model quality, latency, memory usage, and training performance.
• Explore quantization and model distillation techniques, analyze results, and document findings.

Requirements

• Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Proficiency in Python and familiarity with PyTorch or TensorFlow.
• Knowledge of machine learning, deep learning, and Transformer models.
• Analytical, detail-oriented, and motivated to learn.
• Available for a minimum 16–20 week internship.

Nice to have

• Familiarity with Hugging Face, distributed computing, or Linux.

Culture & Benefits

• Opportunity to contribute to a global gaming mission and work with a team spanning five continents.
• Hands-on experience with large language model fine-tuning, evaluation, GPU computing, and distributed training.
• Exposure to dataset preparation, model optimization, experiment tracking, and production-oriented Generative AI workflows.
• Inclusive and respectful workplace with reasonable accommodations where needed.