Intern Engineer – RL Post-Training for LLMs

<p><strong><span style="font-size:1.1em"><span style="color:#121317">Huawei Canada has an immediate 6-12 months internship opening for an Intern Researcher.</span></span></strong></p><p style="min-height: 1.7em;"></p><p><strong><span style="font-size:1.1em"><span style="color:#121317">About the team:&nbsp;</span></span></strong></p><p style="text-align:start;"><span style="font-size:1.1em"><span style="color:#121317">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.</span></span></p><p style="text-align:start;min-height: 1.7em;"></p><p style="text-align:start;"><strong><span style="font-size:1.1em"><span style="color:#121317">About the job:</span></span></strong></p><ul><li><p class="MsoListParagraphCxSpFirst"><span style="font-size:1.1em"><span style="color:#121317">Develop and optimize RL post-training pipelines for LLMs (e.g., GRPO, reward modeling).</span></span></p></li><li><p class="MsoListParagraphCxSpFirst"><span style="font-size:1.1em"><span style="color:#121317">Conduct experiments to improve model performance, reasoning, and alignment.</span></span></p></li><li><p class="MsoListParagraphCxSpFirst"><span style="font-size:1.1em"><span style="color:#121317">Build scalable training, evaluation, and data generation systems.</span></span></p></li><li><p class="MsoListParagraphCxSpFirst"><span style="font-size:1.1em"><span style="color:#121317">Collaborate with researchers and engineers on cutting-edge LLM projects</span></span></p></li><li><p class="MsoListParagraphCxSpFirst"><span style="font-size:1.1em"><span style="color:#121317">Stay current with advancements in RL, LLMs, and post-training research.</span></span></p><p style="min-height: 1.7em;"></p></li></ul><p><span style="font-size:1.1em"><span style="color:#121317">The </span></span><strong><span style="font-size:1.1em"><span style="color:#121317">total target annual compensation </span></span></strong><span style="font-size:1.1em"><span style="color:#121317">(based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.</span></span></p><p class="break-words" style="min-height: 1.7em;"></p>