Harnham
Senior Machine Learning Engineer
Conversational AI Location:
Chicago, IL (Hybrid
3 days onsite) Salary:
$180200K base + 15% bonus + equity
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.
They are scaling rapidly and seeking an experienced
Senior Machine Learning Engineer
to join a high-performing team and help shape the future of conversational AI.
The Role Youll 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 Were 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
Conversational AI Location:
Chicago, IL (Hybrid
3 days onsite) Salary:
$180200K base + 15% bonus + equity
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.
They are scaling rapidly and seeking an experienced
Senior Machine Learning Engineer
to join a high-performing team and help shape the future of conversational AI.
The Role Youll 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 Were 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