Jobs
Lenovo — Research/Development
Staff Researcher, Algorithm
Lenovo is hiring a Staff Researcher to work on algorithms in Beijing, China. This role involves developing and optimizing AI algorithms for real-world scenarios, integrating academic research with engineering implementation. The ideal candidate will have a strong background in computer science, artificial intelligence, or a related technical field. Lenovo is a global technology powerhouse with a vision to deliver Smarter Technology for All. The Staff Researcher will be part of a team that is building a more equitable, trustworthy, and smarter future for everyone. The company has a full-stack portfolio of AI-enabled devices, infrastructure, software, solutions, and services. The role requires conducting algorithm research, building and iterating LLM-based AI agents and enterprise knowledge bases, and delivering reliable, high-performance AI solutions. Lenovo's continued investment in world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone. The company is listed on the Hong Kong stock exchange and has a strong presence in 180 markets. 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 Requirements & Qualifications - 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 technology are mentioned in the source. 2. Prepare your application materials, including your resume and any other required documents. 3. Click the Apply button below to submit your application.