Machine Learning Engineer / Agentic Voice / Hybrid in Chicago

Chicago 29 days agoFull-time External
983.9k - 1.3m / yr
A Series C startup focused on AI-powered customer solutions is looking for a full-time Machine Learning Engineer to join their growing team. They are building an agentic voice platform that would enable patients to have real-time conversations with AI for healthcare in which the Machine Learning Engineer will be creating optimized and domain-specific conversational AI by fine-tuning LLM’s using LoRA, QLoRA and DPO. This role requires extensive experience with fine tuning LLM’s and pushing LLMs to be deployed at a large scale. This opportunity is perfect for someone that is passionate in technology with impact, wanting to push to limits of AI, and joining a curious and fast-paced team. Required Skills & Experience • 4+ years of developing Machine Learning systems from research to production • 2+ years in conversational AI • Experience with fine-tuning and compression • Experience with Python, Pytorc, LoRA, QLoRA, Langchain, LangGraph, Kafka, Redis, Postgres, Kubernetes, MLflow/SageMaker) Desired Skills & Experience • Leadership experience such as defining ML best practices and mentoring junior engineers. • Experience with ML research such as running POCs with models to stay ahead in the latest LLM research • Experience with scale inference The Offer • Hybrid 3 days/week in the West Loop • Competitive Salary • Medical, Dental, Vision Benefits • PTO • Stock options + bonus Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. #LI-1