Machine Learning Engineer, Search Quality
$140k - $265k • Remote • San Francisco, CA
Posted 10h ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
Glean is seeking engineers to contribute to building the world's premier search and assistant product for the workplace. Our engineers tackle a variety of systems, including query and document understanding, domain-adapted language models, natural language question-answering, and evaluation. You will collaborate closely with customers to understand their challenges and apply the most effective solutions, whether simple or complex.
Responsibilities
- Invent new signals to enhance search engine personalization.
- Train models to capture signal interactions within the ranking system.
- Design methods for domain-adapting language models to customer-specific data.
- Explore novel ways to integrate LLMs with search engines for complex question answering.
- Write clean, maintainable, and testable code.
- Mentor junior engineers or learn from experienced team members.
Requirements
- 2+ years of experience.
- Bachelor's degree in Computer Science, Math, Sciences, or a related field.
- Experience with search, recommendation systems, natural language processing, or other large-scale machine learning systems.
- Strong analytical skills and proficiency in working with data.