About this role
Enterprises struggle to extract actionable knowledge from fragmented data sources, leading to slower onboarding and inefficient daily workflows. Glean addresses this challenge by developing an advanced Work AI platform that powers intelligent search, an AI assistant, and agentic capabilities across hundreds of enterprise SaaS connectors.
Engineers on this team tackle complex challenges spanning query understanding, document processing, domain-adapted language models, and natural language question-answering. Practitioners build systems that integrate deeply with tools like Microsoft Teams, Zoom, and Zendesk while collaborating closely with customers to resolve real-world pain points.
Ideal candidates bring a strong background in machine learning systems, natural language processing, or search technologies combined with solid software engineering foundations. Professionals who thrive in cross-functional, customer-focused environments and want to shape enterprise software infrastructure will find a strong fit here.
What you will do
- Invent new signals to improve the personalization of the search engine.
- Train models to capture interactions between signals within the ranking system.
- Design smarter methods for domain-adapting language models to individual customer corpora.
- Discover novel ways of combining large language models with search engines to answer complex questions.
- Write robust code that remains easy to read, maintain, and test.
- Mentor junior engineers or learn from experienced peers.
What you need
- Bring at least two years of relevant professional experience.
- Hold a BA or BS in computer science, math, sciences, or a related degree.
- Demonstrate experience working with search, recommendation, natural language processing, or other large systems involving machine learning.
- Possess strong analytical skills alongside the ability to work effectively with data.
- Show a proven ability to design, build, and ship production-ready models.
- Maintain proficiency in a chosen machine learning framework and strong coding skills in languages such as Python, Go, Java, or C++.
Benefits
- Medical, Vision, and Dental coverage
- Generous time-off policy
- 401k plan contribution
- Home office improvement stipend
- Annual education and wellness stipends
- Daily healthy lunches
Skills and tech stack
Questions candidates ask
What is the remote work policy?
This role is hybrid and requires working 4 days a week in the San Francisco office.
What is the compensation range for this position?
The standard base salary range is $140,000 to $265,000 annually, with actual compensation determined by factors such as location, level, job-related knowledge, skills, and experience.
What does the interview process involve regarding AI?
As part of the interview process, candidates complete a brief AI-focused exercise or discussion so the team can understand how applicants think about, design, and use AI to drive impact.