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Senior ML Engineer

Shopmonkey

$163,000 - $195,000
Oct 30, 2025
Remote, US
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Shopmonkey aims to help every shop thrive by equipping them with the tools they need to run and grow their business. This role will focus on applying cutting-edge LLMs and co-pilot frameworks to meet real-world auto shop needs, moving AI agents from discovery through production to shape the future of the automotive care experience.

Requirements

  • Proven experience shipping models into production (not just proof-of-concepts).
  • Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.
  • Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
  • Cloud infrastructure experience, (e.g. GCP, AWS).
  • Understanding of MLOps, including orchestration tools like Airflow or Dagster.
  • Prior experience working at a high growth startup.
  • Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).

Responsibilities

  • Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).
  • Design and implement workflows and scripts for agentic conversations based on real-world data.
  • Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.
  • Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.
  • Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
  • Design evaluation agents to enhance the quality and coherence of autonomous conversations.
  • Work within a modern MLOps environment to ensure scalable and reliable deployment of models.

Other

  • Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.
  • Conducted code reviews and have to ability to provide constructive feedback
  • 5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master’s or PhD) may offset years of experience.
  • This is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected to the local team there.
  • Shopmonkey has the structured data, workflows, and operational maturity to deliver AI that’s not only intelligent but trusted and useful.