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AI Engineering Intern

Lenovo

Salary not specified
Nov 6, 2025
NC, United States of America
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Lenovo is seeking an intern to contribute to the design, development, and exploration of their next-generation AI systems, advancing Lenovo's Hybrid AI vision and making Smarter Technology for All.

Requirements

  • 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.
  • 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.

Responsibilities

  • Assist in the design, implementation, and testing of AI-driven systems and tools.
  • Support development of intelligent agents and task automation pipelines, including prompt engineering and context management.
  • Contribute to the training or fine-tuning of models such as Large Language Models (LLMs) and multimodal models (e.g., vision, text, and speech).
  • 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.
  • Explore technologies like vector databases, knowledge graphs, and retrieval-augmented generation (RAG) to enhance model performance.
  • Help evaluate AI models for performance, accuracy, robustness, and fairness.
  • Stay up to date with the latest AI advancements and assist in rapid prototyping of innovative concepts.

Other

  • 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.
  • Curiosity, adaptability, and willingness to learn new technologies and methods.
  • Good communication and collaboration skills.
  • Publications in leading AI conferences or journals.