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Описание вакансии
Текст:
TL;DR
Generative AI Intern (Python/PyTorch): Developing and optimizing large language models for intelligent and agentic AI applications with an accent on dataset preparation, fine-tuning, evaluation, and distributed training. Focus on benchmarking model quality and performance, applying quantization and distillation, and analyzing experimental results.
Location: Singapore Razer AI Center
Company
A global gaming company developing products and technologies to advance the gaming experience.
What you will do
- Prepare and validate datasets for language-model fine-tuning and evaluation.
- Fine-tune language models using LoRA, supervised fine-tuning, and preference optimization.
- Support distributed training and experimentation with PyTorch, Hugging Face, Ray, and DeepSpeed.
- Benchmark model quality, latency, memory usage, and training performance.
- Explore quantization and model-distillation techniques and document experimental 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
- Work with a global team across five continents.
- Gain hands-on experience with production-oriented Generative AI workflows.
- Develop practical skills in large language model fine-tuning, evaluation, distributed training, and GPU-based computing.
- Work in an inclusive and respectful environment with reasonable accommodations where needed.
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