# Language Model Training Intern

**Company**: Razer
**Experience**: internship
**Job type**: internship
**Category**: Engineering
**Industry**: Technology

**Apply**: https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Large-Language-Model-Intern_JR2026007862?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9e3dd06a-649

## Description

Join Razer's global team to revolutionize gaming.

**Job Responsibilities:** Train and optimize language models for Razer Software across the full pipeline , pretraining corpus construction, fine-tuning, evaluation, and deployment optimization.

**Job Scope** Work with senior data scientists and engineers on the model powering Razer Software, covering:

- Corpus construction , cleaning, filtering, deduplication, and mixing of training data

- Fine-tuning , SFT, LoRA, and preference optimization runs

- Evaluation , quality, latency, and memory benchmarking against production constraints

- Deployment optimization , compression and quantization experiments for on-device targets

**Learning Objectives** By the end of this internship, you will have:

- Hands-on experience across the full LLM training lifecycle at production scale

- Practical judgment in data engineering: how cleaning/filtering/mixing decisions propagate into model quality

- The ability to independently run a rigorous ML experiment loop , hypothesize, train, evaluate, diagnose subtle regressions, iterate

- Direct exposure to how deployment constraints shape training and architecture decisions

- Mentorship from senior engineers and visibility into how a production roadmap for a shipping AI feature actually gets decided

**Candidate Requirements**

- Education: Current Bachelor's, Master's, or PhD student in CS, AI, Data Science, or a related field

- Must-have knowledge: LLM training paradigms, Transformer/deep learning fundamentals, how deployment constraints shape training decisions

- Must-have skills: Python, hands-on PyTorch model training, data engineering for training corpora, end-to-end experiment running, benchmarking quality/latency/memory

- Nice-to-have: Model compression, distributed training, Hugging Face/Accelerate/DeepSpeed, Linux environment

- Screening bar: Demonstrable hands-on model training/fine-tuning experience

- Strong positives: Trained a model from scratch, multi-GPU training, model compression/on-device deployment work, top-tier publications

## Skills

### Required
- Python
- PyTorch
- LLM training
- data engineering
- Transformer
- deep learning

### Nice to have
- Model compression
- distributed training
- Hugging Face
- Accelerate
- DeepSpeed
- Linux

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Source: [Apply at razer.wd3.myworkdayjobs.com](https://razer.wd3.myworkdayjobs.com/en-US/Careers/job/Singapore/Large-Language-Model-Intern_JR2026007862?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)