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GleanGleanUnited States

Machine Learning Engineer, Search Quality

Build advanced search quality systems using machine learning, including personalization signals, ranking models, and domain-adapted LLMs for enterprise search. Requires 2+ years experience in ML, search/NLP, strong coding in Python/Go/Java/C++, and bachelor's in CS/math.

140k – 265k
Hybrid2+ YOEML Engineering

About the role

You will:

  • Invent new signals to improve the personalization of our search engine
  • Train a model to capture interactions between signals in our ranking system
  • Design smarter ways to domain-adapt language models to each customer’s corpus
  • Discover new ways of combining LLMs with search engines to answer complex questions
  • Write robust code that’s easy to read, maintain, and test
  • Mentor more junior engineers, or learn from battle-tested ones

About you:

  • 2+ years of experience
  • BA/BS in computer science, math, sciences, or a related degree
  • Experience working with search, recommendation, natural language processing, or other large systems involving machine learning
  • Strong analytical skills and ability to work with data
  • Proven ability to design, build, and ship production-ready models
  • Proficiency in your ML framework of choice
  • Strong coding skills (Python, Go, Java, C++, ...)
  • Thrive in a customer-focused, tight-knit and cross-functional environment

Compensation & Benefits

The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan.

Skills

Machine LearningSearch EnginesNatural Language ProcessingLLMsPythonGoJavaC++Ranking SystemsRecommendation Systems

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