Intern Engineer – RL Post-Training for LLMs
About The Position
Huawei Canada has an immediate 6-12 months internship opening for an Intern Researcher. The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications. One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.
Requirements
- Enrolled as Master or Ph.D. student in Computer Science, AI, or related field.
- Strong background in machine learning, reinforcement learning, and deep learning.
- Familiarity with Large Language Models, transformer architectures, and post-training methods.
- Proficiency in Python, PyTorch, and LLM frameworks.
- Strong problem-solving and communication skills
Nice To Haves
- Hands-on experience with LLMs and RL training algorithms (e.g., GRPO) is an asset.
- Familiarity with RL frameworks, such as VeRL.
- Experience with open-source LLM frameworks such as Hugging Face, DeepSpeed, vLLM, or SGLang is an asset.
- Knowledge of domain-specific languages used with AI accelerators.
- Experience with distributed training frameworks, large-scale experimentation, or LLM infrastructure is an asset.
Responsibilities
- Develop and optimize RL post-training pipelines for LLMs (e.g., GRPO, reward modeling).
- Conduct experiments to improve model performance, reasoning, and alignment.
- Build scalable training, evaluation, and data generation systems.
- Collaborate with researchers and engineers on cutting-edge LLM projects
- Stay current with advancements in RL, LLMs, and post-training research.
Benefits
- Fair, inclusive, and accessible recruitment process
- Accommodation during any stage of the hiring process
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What This Job Offers
Career Level
Intern
