Machine Learning Engineer / Agentic Voice / Hybrid in Chicago

Overview

On Site
140k - 180k
Full Time

Skills

Startups
Real-time
Health Care
Artificial Intelligence
Data Compression
Python
LangChain
Apache Kafka
Redis
PostgreSQL
Kubernetes
Amazon SageMaker
Leadership
Mentorship
Machine Learning (ML)
Research
SAP BASIS

Job Details

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.

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