Shopmonkey

Senior Machine Learning Engineer

Shopmonkey

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $163,000 - $195,000 per year

Job Level

Senior

Tech Stack

AirflowAWSCloudGoogle Cloud PlatformPythonSQLTensorflowTypeScript

About the role

  • 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 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
  • Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards
  • Translate complex ML workflows into digestible updates for cross-functional stakeholders
  • Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment

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
  • Strong collaboration and communication skills
  • Conducted code reviews and ability to provide constructive feedback
  • Bachelor’s degree in a STEM field, or equivalent practical experience
  • 5+ years of industry experience in applied machine learning or AI engineering
  • Advanced degrees (Master’s or PhD) may offset years of experience
  • Bonus: Prior experience at a high growth startup
  • Bonus: Experience building consumer-facing agents in vertical SaaS or the automotive industry
  • Bonus: Background in data processing or real-time analytics
  • Bonus: Experience with Snowflake or other large-scale data warehouse solutions