Machine Learning Engineer, Search Quality

at Glean
USD 140,000-265,000 per year
MIDDLE
✅ Hybrid

Tech Stack

AI API @ 3 Experimentation @ 3 Go @ 6 Java @ 6 LLM @ 3 Machine Learning @ 3 Mathematics @ 3 NLP Python @ 6 Search Engines

Details

Glean is building a Work AI platform that combines enterprise search, an AI Assistant, and scalable AI agents. The platform uses enterprise and personal knowledge graphs, more than 100 SaaS connectors, flexible LLM choices, and robust APIs.

The engineering team works across query understanding, document understanding, domain-adapted language models, natural language question answering, evaluation, and experimentation to build search and assistant products for the workplace.

Responsibilities

  • Invent new signals to improve search personalization.
  • Train models to capture interactions between signals in the ranking system.
  • Design improved methods for domain-adapting language models to each customer's corpus.
  • Find new ways to combine large language models with search engines to answer complex questions.
  • Write robust, readable, maintainable, and testable code.
  • Mentor junior engineers and learn from experienced engineers.
  • Work closely with customers and cross-functional teams to understand pain points and deliver impactful solutions.

Requirements

  • 2+ years of experience.
  • Bachelor's degree in computer science, mathematics, science, or a related field.
  • Experience with search, recommendation systems, natural language processing, or other large machine-learning systems.
  • Strong analytical and data skills.
  • Demonstrated ability to design, build, and ship production-ready models.
  • Proficiency with an ML framework of choice.
  • Strong coding skills in Python, Go, Java, C++, or similar languages.
  • Ability to work in a customer-focused, close-knit, and cross-functional environment.
  • Team-oriented attitude and willingness to take on the work that is most impactful for the company.
  • Proactive and positive approach to leading, learning, troubleshooting, and taking ownership of tasks and features.

Work Location

This is a hybrid role requiring four days per week in Glean's San Francisco office.

Compensation And Benefits

The standard base salary range is $140,000–$265,000 annually. Compensation depends on factors including location, level, job-related knowledge, skills, and experience. Certain roles may also be eligible for variable compensation, equity, and benefits.

Benefits include medical, vision, and dental coverage, generous time off, a 401(k) plan, a home-office improvement stipend, annual education and wellness stipends, company events, and daily healthy lunches.

Glean is committed to building and sustaining a diverse and inclusive workplace. The interview process includes a brief AI-focused exercise or discussion covering how candidates think about, design, and use AI.

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