Staff Researcher, Algorithm

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . · Job Overview We are seeking an AI Algorithm Researcher/Engineer to develop and optimize AI algorithms for real-world scenarios. You will conduct algorithm research, build and iterate LLM-based AI agents and enterprise knowledge bases, and deliver reliable, high-performance AI solutions. This role integrates academic research with engineering implementation, covering data mining, time-series forecasting, causal analysis, operational optimization, reinforcement learning, LLM fine-tuning, agent development and knowledge base construction. · Key Responsibilities · Research, model and implement machine learning and deep learning algorithms for business scenarios. · Develop and iterate LLM-based AI agents, and build, optimize and maintain enterprise structured & unstructured knowledge bases. · Practice core AI technologies including data mining, feature engineering, time-series forecasting, causal analysis, operational optimization, reinforcement learning and LLM fine-tuning. · Design, train, optimize and deploy AI models to solve complex business and industrial problems. · Build efficient algorithm pipelines, continuously improve model accuracy, stability and operational efficiency. · Collaborate with cross-functional teams to land and iterate AI solutions, and track cutting-edge AI technologies to drive business empowerment. · Job Requirements · Bachelor’s degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science or other related technical fields. · Solid hands-on project experience in data mining, feature engineering, time-series forecasting, causal analysis, operational optimization, reinforcement learning, LLM fine-tuning, AI agent development and knowledge base construction. · Proficient in mainstream ML/DL frameworks: scikit-learn, TensorFlow, PyTorch, etc. · Solid data structure and database foundation; skilled in SQL and Python algorithm modeling & data analysis. · Strong self-learning ability, technical curiosity and passion for solving practical problems with AI techno