Algorithm Engineer

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 . Responsibilities: AI Systems Development: Assist in the design, implementation, and testing of AI-driven systems and tools. Agent and Workflow Design: Support development of intelligent agents and task automation pipelines, including prompt engineering and context management. Model Training & Fine-Tuning: Contribute to the training or fine-tuning of models such as Large Language Models (LLMs) and multimodal models (e.g., vision, text, and speech). Evaluation & Analysis: Help evaluate AI models for performance, accuracy, robustness, and fairness. Research & Prototyping: Stay up to date with the latest AI advancements and assist in rapid prototyping of innovative concepts. Collaboration & Documentation: Work closely with mentors and team members to document findings, share insights, and contribute to project deliverables. Qualifications: Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Electrical & Computer Engineering, Data Science, or a related technical field. Strong interest in AI, machine learning, and intelligent systems. Proficiency in programming languages such as Python, C++, Java, or Kotlin. Basic understanding of Machine Learning and Deep Learning principles. Exposure to AI frameworks such as PyTorch, Transformers, LangGraph, or Autogen. Curiosity, adaptability, and willingness to learn new technologies and methods. Good communication and collaboration skills. #LATC