Machine Learning Engineer

General Information

Req #

WD00098252

Career area:

Software Engineering

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Wednesday, April 29, 2026

Working time:

Full-time

Additional Locations :
* United States of America - Illinois - Chicago

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$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 and read about the latest news via our StoryHub.

Description and Requirements

About Our Team

Lenovo is building Quantum, a nextgeneration hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the engineering organization that powers Qira, Lenovo's crossdevice Personal AI.

We are hiring a Machine Learning Engineer to own the full agentic stack - from LLM orchestration, tool use, memory, and production deployment on devices.

Location: Chicago, IL is highly preferred (Hybrid, 3 days onsite, 2 days remote)

What You'll Do

• Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
• Build evaluation frameworks to measure agent reliability and safety across different tasks.
• Build and maintain RAG systems, vector stores, and external tool integrations.
• Deploy and scale agent systems in production; translate relevant research into working systems.

Basic Qualifications

• 5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) on devices.
• Experience in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
• Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
• Experience with RAG architecture, embedding models, and LLM evaluation methodology
• Experience with software engineering fundamentals (python and at least one other programming language).

Preferred Qualifications

• Rust experience for performance-critical inference or runtime components *

The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.

Lenovo's various benefits can be found on

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.

Additional Locations :
* United States of America - Illinois - Chicago

* United States of America

* United States of America - Illinois

* United States of America - Illinois - Chicago