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Advisory Researcher, Foundation Model

Lenovo•Apply•Published 1 months ago•First seen 3 days ago
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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 #153 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

  • Lead the engineering implementation of core agent capabilities on the device side.

  • Advance task orchestration, tool invocation, memory management, context control, and multi-scenario integration.

  • Explore the extension of agent capabilities from screen manipulation to device control.

  • Support key business initiatives from PoC to large-scale deployment.

Requirements

  • Master's degree or higher in Computer Science or a related field.

  • 4+ years of relevant experience.

  • Proficient in LLM/Agent application development, prompt engineering, and workflow design.

  • Familiar with the MCP protocol, skill registration mechanisms, function calling, and the ReAct pattern.

  • Knowledge of mainstream agent frameworks (e.g., LangGraph, etc.).

  • Experience with on-device or mobile engineering, with the ability to independently drive the implementation of complex agent functionalities, as well as performance and stability optimization.