Harnham
Base pay range
$160,000.00/yr - $200,000.00/yr
Senior Machine Learning Engineer – Conversational AI Location:
Chicago, IL (Hybrid – 3 days onsite)
About the Opportunity Harnham is partnering with a fast‑growing AI technology company that is building a next‑generation agentic voice platform for enterprise‑scale customer engagement. This organization works with Fortune 50 businesses across healthcare, finance, and retail, and is backed by leading investors with over $25M in funding.
The Role You’ll be responsible for fine‑tuning and deploying advanced models for real‑time voice applications, working on cutting‑edge challenges in LLMs, speech technologies, and MLOps.
Key Responsibilities
Fine‑tune and optimize large language models using LoRA, QLoRA, RLHF, and other advanced techniques
Deploy models into production environments with sub‑second latency
Collaborate with engineering and product teams to deliver scalable solutions
Innovate with the latest research in conversational AI and speech technologies
What We’re Looking For
5+ years of ML engineering experience (beyond academic projects)
Strong background in model fine‑tuning and deployment
Experience with GPT‑class models, LangChain/LangGraph, and prompt engineering
Bonus: Speech expertise (ASR/TTS) and MLOps experience
Why Apply?
Competitive compensation + bonus + equity
Work on industry‑disrupting AI solutions
Collaborative culture with real impact
Relocation support and hybrid flexibility
#J-18808-Ljbffr
Senior Machine Learning Engineer – Conversational AI Location:
Chicago, IL (Hybrid – 3 days onsite)
About the Opportunity Harnham is partnering with a fast‑growing AI technology company that is building a next‑generation agentic voice platform for enterprise‑scale customer engagement. This organization works with Fortune 50 businesses across healthcare, finance, and retail, and is backed by leading investors with over $25M in funding.
The Role You’ll be responsible for fine‑tuning and deploying advanced models for real‑time voice applications, working on cutting‑edge challenges in LLMs, speech technologies, and MLOps.
Key Responsibilities
Fine‑tune and optimize large language models using LoRA, QLoRA, RLHF, and other advanced techniques
Deploy models into production environments with sub‑second latency
Collaborate with engineering and product teams to deliver scalable solutions
Innovate with the latest research in conversational AI and speech technologies
What We’re Looking For
5+ years of ML engineering experience (beyond academic projects)
Strong background in model fine‑tuning and deployment
Experience with GPT‑class models, LangChain/LangGraph, and prompt engineering
Bonus: Speech expertise (ASR/TTS) and MLOps experience
Why Apply?
Competitive compensation + bonus + equity
Work on industry‑disrupting AI solutions
Collaborative culture with real impact
Relocation support and hybrid flexibility
#J-18808-Ljbffr