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Salary: USD 140,000 - 265,000 / annual
Glean is a Work AI platform that combines enterprise search, AI assistants, and scalable AI agents on a secure, open platform. The company serves 1,000+ employees across 50+ industries and has been recognized by Fast Company (Top 10 Most Innovative Companies 2025), CNBC's Disruptor 50, Bloomberg's AI Startups to Watch, Forbes AI 50, and Gartner's Tech Innovators in Agentic AI.
As a Machine Learning Engineer on the Search Quality team, you will work on systems across the stack including query understanding, document understanding, domain-adapted language models, natural language question-answering, evaluation, and experimentation. You'll collaborate closely with customers to understand pain points and deploy solutions ranging from simple to complex.
Key responsibilities include:
- Inventing new signals to improve search engine personalization
- Training models to capture interactions between signals in the ranking system
- Designing methods to domain-adapt language models to each customer's corpus
- Discovering new ways to combine LLMs with search engines for complex question-answering
- Writing robust, maintainable, and testable production code
- Mentoring junior engineers or learning from experienced team members
You'll work in a customer-focused, cross-functional environment where taking ownership of both small tasks and large features is essential. The role is hybrid, requiring 4 days per week in the San Francisco office.
REQUIREMENTS:
- 2+ years of professional experience
- BA/BS in computer science, math, sciences, or related field
- Experience with search, recommendation systems, natural language processing, or large-scale machine learning systems
- Strong analytical skills and ability to work with data
- Proven ability to design, build, and ship production-ready models
- Proficiency in an ML framework (TensorFlow, PyTorch, etc.)
- Strong coding skills in Python, Go, Java, C++, or similar languages
- Ability to thrive in a customer-focused, tight-knit, cross-functional team environment
- Proactive, positive attitude with ownership mindset for both small and large initiatives
