Generative AI Intern — Build & Benchmark LLMs

Razer; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

Razer is seeking a Generative AI Intern for the AI Software team to help develop and optimize large language models for intelligent AI applications. You will work on dataset preparation, model fine-tuning, evaluation, and training optimization, with exposure to distributed training using PyTorch, Hugging Face, and related tools.

Candidates should be pursuing a Bachelor’s or Master’s degree in CS/AI/data science, be proficient in Python, and have knowledge of ML/DL and Transformer models.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
• Proficient in Python and familiar with PyTorch or TensorFlow.
• Knowledge of machine learning, deep learning, and Transformer models.
• Familiarity with Hugging Face, distributed computing, or Linux is advantageous.
• Analytical, detail‑oriented, and motivated to learn.
• Available for a minimum of 16–20 week internship.

Responsibilities

• Prepare and validate datasets for model fine-tuning and evaluation.
• Fine-tune language models using LoRA, supervised fine-tuning, and preference optimization.
• Support distributed training and experimentation using PyTorch, Hugging Face, Ray, or DeepSpeed.
• Benchmark model quality, latency, memory usage, and training performance.
• Explore optimization techniques such as quantization and model distillation.
• Analyze experimental results and document findings.
• Gain hands-on experience in fine-tuning and evaluating large language models.
• Learn practical concepts in distributed training and GPU-based computing.
• Understand dataset preparation, model optimization, and experiment tracking.
• Build experience with production‑oriented Generative AI workflows.

Skills

Python

PyTorch

TensorFlow

Machine Learning

Deep Learning

Transformer models

Hugging Face

Distributed computing

Linux

Analytical

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

Tools

PyTorch

Hugging Face

Ray

DeepSpeed

Job description

Razer is seeking a Generative AI Intern for the AI Software team to help develop and optimize large language models for intelligent AI applications. You will work on dataset preparation, model fine-tuning, evaluation, and training optimization, with exposure to distributed training using PyTorch, Hugging Face, and related tools.

Candidates should be pursuing a Bachelor’s or Master’s degree in CS/AI/data science, be proficient in Python, and have knowledge of ML/DL and Transformer models.