Machine Learning Researcher
Huawei
Machine Learning Researcher
Huawei
Global ICT infrastructure and devices provider
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.
multi-agent systems, and function call models. Build scalable SLM pipelines for training, evaluation, and deployment.
Develop methods for efficient training and inference, including: Quantization (e.g., low-precision formats, INT8/FP8); Pruning and sparsity; Low-rank and tensor decompositions
Explore advances in: Parameter-efficient fine-tuning such as LoRA; Memory and long-context modeling; Adapt GPU-based LLMs for CPU-based SLMs.
Prototype new ideas and validate them through rigorous experimentation
Optimize inference performance (latency, throughput, KV-cache efficiency)
Integrate reasoning models with tool-use frameworks (e.g., function calling, APIs)
The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.
Huawei designs and sells ICT infrastructure, devices, and cloud services for telecom operators, enterprises, and consumers. Its products span telecom networks, IT infrastructure, smart devices, and cloud offerings, and they operate globally in more than 170 countries. Huawei’s technology works by combining hardware and software across networking gear, servers, consumer electronics, and cloud platforms, enabling connectivity, data processing, and smart solutions for businesses and homes, with a focus on secure, open collaboration with ecosystem partners. Differences from competitors come from its large scale, employee ownership structure, extensive R&D investment, and broad end-to-end solutions that integrate networks, IT, devices, and cloud. The company aims to empower people, enrich home life, and drive organizational innovation by delivering value through collaboration, advanced technologies, and customer-focused services.
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