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Machine Learning Engineer / Agentic Voice / Hybrid in Chicago
Machine Learning Engineer / Agentic Voice / Hybrid in ChicagoMotion Recruitment • Chicago, IL, United States
Machine Learning Engineer / Agentic Voice / Hybrid in Chicago

Machine Learning Engineer / Agentic Voice / Hybrid in Chicago

Motion Recruitment • Chicago, IL, United States
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Machine Learning Engineer / Agentic Voice / Hybrid in Chicago

Join to apply for the Machine Learning Engineer / Agentic Voice / Hybrid in Chicago role at Motion Recruitment

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 who is passionate about technology with impact, wanting to push the 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, PyTorch, 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.

    Posted By : Lam Tru

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