Role overview
We are Lenovo. We do what we say. We own what we do. We WOW our customers.Lenovo is a US$69 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.What You Will Do
Design, train, and deploy ML models for computer usage and automated task execution, including UI understanding, system control, and workflow automation
Build and scale Large Action Models (LAMs) that translate user intent into structured plans, tool calls, and executable actions
Develop agentic AI pipelines that combine perception (screen, UI, system state), reasoning, planning, and execution with strong reliability guarantees
Implement and evaluate action execution frameworks, including tool orchestration, sandboxed execution, rollback, and failure recovery
Train and fine-tune multimodal models (LLMs, VLMs) for screen understanding, element grounding, and instruction-following
Partner with OS, application, and platform teams to integrate AI agents deeply into Windows and cross-device environments
Build evaluation systems for task success, robustness, latency, and safety in real-world computer usage scenarios
Collaborate with product, UX, and security teams to ensure safe, transparent, and controllable AI behavior
Stay at the forefront of agentic AI, tool-using LLMs, large action models, and autonomous execution systems
Basic Qualifications
At least 5 years of experience in ML engineering, applied AI, or intelligent systems
Bachelor’s Degree in Computer Science, Engineering, or a related technical discipline
Strong experience with LLMs and/or multimodal models for reasoning, planning, or control
Hands-on experience building end-to-end ML systems, not just models (training → evaluation → deployment)
Proficiency in Python and experience with modern ML frameworks (PyTorch, JAX, TensorFlow)
Experience shipping ML-powered features into production products
What we're looking for
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting