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Principal Machine Learning Engineer

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11 days ago
Remote, United StatesStaff+

Base Salary

$230k - $368k/yr

Responsibilities

  • Architect and code high-performance backend services and ML pipelines.
  • Build and prototype new internal products leveraging LLMs and Agentic AI.
  • Design and implement ML models for real-time sales recommendations.
  • Develop backend integration between custom quoting software and Salesforce.
  • Solve complex synchronization and architectural challenges across the GTM stack.
  • Drive engineering excellence through code reviews and mentorship.
  • Deliver significant core capabilities that impact the organization.
  • Anticipate product needs and build flexible backend systems.
  • Ensure reliability of GTM tools with deep observability.

Requirements

  • Extensive experience in backend languages such as Java, Go, or Python.
  • Hands-on experience deploying Machine Learning models in production.
  • Experience with complex enterprise software, particularly custom quoting engines or Salesforce.
  • Ability to design event-driven architectures and manage data flow.
  • Bachelor’s or Master’s degree in Computer Science or a related field.

Tech Stack

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