AI Engineering Intern

Lenovo is seeking a highly motivated intern to contribute to the design, development, and exploration of our next-generation AI systems. As an intern, you will have the opportunity to work on a variety of projects across the AI stack - from foundational models to intelligent applications - depending on project needs and your own interests. This is an exciting opportunity to gain hands-on experience with cutting-edge AI systems while collaborating with experienced engineers, researchers, and product teams to help advance Lenovo's Hybrid AI vision and make Smarter Technology for All.

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).

• On-Device Performance Optimization: Help evaluate and optimize model performance on phones, tablets, and PCs, focusing on efficiency, latency, and power usage to get the most out of device hardware.

• Knowledge Management: Explore technologies like vector databases, knowledge graphs, and retrieval-augmented generation (RAG) to enhance model performance.

• 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:

• Currently pursuing a Bachelor's, 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.

• Familiarity with operating systems such as Linux, Windows, or Android

• 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.

Bonus Points:

• Experience working on personal or academic AI projects (e.g., LLMs, multimodal models, chatbots).

• Previous internship experience in software development or AI fields.

• Contributions to open-source AI projects.

• Publications in leading AI conferences or journals.

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