Machine Learning Engineer
Role details
Job location
Tech stack
Job description
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Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory.
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Build evaluation frameworks to measure agent reliability and safety across different tasks.
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Build and maintain RAG systems, vector stores, and external tool integrations.
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Deploy and scale agent systems in production; translate relevant research into working systems., 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 www.lenovobenefits.com. 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:
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United States of America - Illinois - Chicago
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United States of America
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United States of America - Illinois
Requirements
- 5+ years in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization)
- 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)., * Rust experience for performance-critical inference or runtime components *