Why Work at Lenovo
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.
Description and Requirements
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.
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