Generative AI Intern
LocationSingapore Razer AI Center
Typeinternship
SeniorityEntry
Company size1,001–5,000 people
PostedAug 17, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
Proficient in Python
Familiar with PyTorch or TensorFlow
Knowledge of machine learning, deep learning, and Transformer models
Analytical, detail-oriented, and motivated to learn
Familiarity with Hugging Face, distributed computing, or Linux is advantageous
Available for a minimum of 16–20 week internship
Skills
Python
PyTorch
TensorFlow
Hugging Face
Ray
DeepSpeed
Linux
About the company
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
About the role
Join our AI Software team as a Generative AI Intern and help develop and optimize large language models for intelligent and agentic AI applications. You will work on dataset preparation, model fine-tuning, evaluation, and training optimization.
Key Responsibilities
• Prepare and validate datasets for model fine-tuning and evaluation.
• Fine-tune language models using techniques such as 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.
Learning Objectives
• 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.
Candidate Requirements
• Pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a 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.
Pre-Requisites :
Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.
Are you game?