Machine Learning Engineer

Lenovo is building Quantum, a next‑generation 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 cross‑device 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 (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. Compensation The base salary budgeted range for this position is $145K - $155K. Individuals may also be considered for bonus and/or commission.

Benefits Lenovo’s various benefits can be found on www.lenovobenefits.com. Equal Opportunity Statement 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. #J-18808-Ljbffr