Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
LLM @ 3
Machine Learning
NLP @ 3
Security @ 3
Software Development @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is the Work AI platform that helps organizations work smarter with AI. Its platform includes enterprise search, an AI Assistant, scalable AI agents, over 100 enterprise SaaS connectors, flexible LLM choice, robust APIs, and Enterprise and Personal Knowledge Graphs.
Responsibilities
- Own a scoped, high-impact project end to end, from defining the problem and writing a design through building, testing, launching, and measuring outcomes.
- Ship production-quality code that is reliable, well-tested, and maintainable, with thoughtful code reviews and iterative feedback.
- Contribute across the stack based on your interests, including backend services, product engineering, ML/AI/search, infrastructure, security, and more.
- Work closely with people within and beyond your team.
Requirements
- Graduating in Fall 2027 or Spring 2028 with a B.S., M.S., or Ph.D. in Computer Science or an equivalent program.
- Team player with a strong desire to learn and an owner mentality.
- Comfortable working in a fast-paced, data-driven environment.
- Interested in backend, infrastructure, security, UI/full-stack, or ML/NLP/search.
- Prior internship experience in one or more of these areas.
- Strong foundation in computer science and software development fundamentals.
- Candidates will complete a brief AI-focused exercise or discussion during the interview process. Prior Glean experience is not required.
Location
This is a hybrid role requiring four days per week in the Mountain View or San Francisco office.
Compensation & Benefits
- Hourly pay range: $57–$69.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Glean is committed to an inclusive and diverse company and does not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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