LLM Training Intern — End-to-End ML Pipeline & On-Device

Razer Inc.; Singapore; On-site; SGD 17,000 - 23,000; Full time

Job summary

Razer Inc. seeks an internship candidate to work on training and optimizing language models for Razer Software, spanning pretraining to deployment. You will join senior engineers to own end-to-end workstreams from design to analysis.

Expect hands-on experience with LLM training, data engineering, and model compression. This role emphasizes practical ML experimentation and collaboration in a fast-paced, gaming-centered environment.

Qualifications

• Education in CS/AI/Data Science; current student (Bachelor/Master/PhD).
• Must-have knowledge: LLM training paradigms; transformer fundamentals; latency/memory tradeoffs.

Responsibilities

• Train and optimize language models for Razer Software across the full pipeline.
• Handle corpus construction, fine-tuning (SFT, LoRA), evaluation, and deployment optimization.
• Collaborate with senior data scientists and engineers on end-to-end workstreams.
• Benchmark quality, latency, and memory under production constraints.

Skills

Python

PyTorch

Experiment design

Data engineering

Education

CS/AI/Data Science degree

Tools

Hugging Face

Accelerate

DeepSpeed

Linux

Job description

Razer Inc. seeks an internship candidate to work on training and optimizing language models for Razer Software, spanning pretraining to deployment. You will join senior engineers to own end-to-end workstreams from design to analysis.

Expect hands-on experience with LLM training, data engineering, and model compression. This role emphasizes practical ML experimentation and collaboration in a fast-paced, gaming-centered environment.