Machine Learning Researcher -LLM Agents & Efficient Deep Learning

<h4 style="text-align:start;"><strong><span style="color:#121317">Huawei Canada has an immediate 12months opening for a Machine Learning Researcher.</span></strong></h4><h4 style="text-align:start;"></h4><h4 style="text-align:start;"><strong><span style="color:#121317">About the Team：</span></strong></h4><p style="text-align:start;"><span style="color:#121317">Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.</span></p><p style="min-height: 1.7em;"></p><h4><strong><span style="color:#121317">About the Job:</span></strong><span style="color:#121317"> </span></h4><ul><li><p><span style="color:#121317">multi-agent systems, and function call models. Build scalable SLM pipelines for training, evaluation, and deployment.</span></p></li></ul><ul><li><p><span style="color:#121317">Develop methods for efficient training and inference, including: Quantization (e.g., low-precision formats, INT8/FP8); Pruning and sparsity; Low-rank &nbsp;and tensor decompositions</span></p></li><li><p><span style="color:#121317">Explore advances in: Parameter-efficient fine-tuning such as LoRA; Memory and long-context modeling; Adapt GPU-based LLMs for CPU-based SLMs.</span></p></li><li><p><span style="color:#121317">Prototype new ideas and validate them through rigorous experimentation</span></p></li><li><p><span style="color:#121317">Optimize inference performance (latency, throughput, KV-cache efficiency)</span></p></li><li><p><span style="color:#121317">Integrate reasoning models with tool-use frameworks (e.g., function calling, APIs)</span></p></li></ul><p><br><span style="font-size:1.2em"><span style="color:#121317">The </span></span><strong><span style="font-size:1.2em"><span style="color:#121317">total target annual compensation</span></span></strong><span style="font-size:1.2em"><span style="color:#121317"> for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.</span></span></p>