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Senior Machine Learning Engineer - Remote

Posted 6 days ago
Software Development
Full Time
Worldwide

Overview

A Senior Machine Learning Engineer at Klue will focus on building and optimizing LLM-powered agents to automate workflows, guiding architecture decisions, and managing projects end-to-end.

In Short

  • Architect and implement retrieval pipelines and workflows.
  • Lead the development of evaluation frameworks.
  • Drive experimentation for enhanced retrieval effectiveness.
  • Optimize LLM workflows for low-latency responses.
  • Collaborate with product and infrastructure teams.
  • Mentor team members and establish best practices.
  • Own data strategy for retrieval and insights extraction.
  • Evaluate and integrate advancements in LLMs.

Requirements

  • 5+ years of industry experience in ML systems.
  • Expert-level programming skills in Python.
  • Deep understanding of information retrieval.
  • Experience with LLMs and retrieval-augmented generation.
  • Track record of delivering production-grade ML systems.
  • Familiarity with evaluation methodologies for search systems.
  • Experience with vector database infrastructure.
  • Knowledge of scalable cloud ML infrastructure.
  • Ability to lead projects independently.

Benefits

  • Competitive base salary.
  • Extended health & dental benefits from Day 1.
  • Opportunity to participate in Employee Stock Option Plan.
  • Flexible time off policy.
  • Direct access to leadership team.
Klue logo

Klue

Klue is a high-growth, venture capital-backed SaaS company focused on competitive enablement, helping businesses understand their market and outmaneuver competitors. With a successful Series B funding round led by Tiger Global and Salesforce Ventures, Klue has established itself as a leader in competitive intelligence solutions. The company boasts an experienced leadership team and a culture recognized as one of Canada's Most Admired Corporate Cultures. Klue is dedicated to innovation and excellence, providing clients with the tools and insights needed to build effective competitive intelligence programs. The company operates in a hybrid work model, emphasizing employee wellness and a supportive work environment.

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