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Описание вакансии
Текст:
TL;DR
Software Engineer, Intern (Summer 2027) (AI/Software): Building and maintaining production software for an enterprise Work AI platform with an accent on backend services, infrastructure, security, UI/full-stack, and ML/NLP/search. Focus on owning scoped projects end to end, shipping reliable code, and measuring outcomes in a hybrid office environment.
Location: Hybrid, four days per week in the Mountain View or San Francisco office
Hourly pay: $57–$69
Company
Glean develops a Work AI platform combining enterprise search, an AI Assistant, scalable AI agents, enterprise knowledge graphs, SaaS connectors, and APIs.
What you will do
- Own a scoped, high-impact project from problem definition and design through implementation, testing, launch, and outcome measurement.
- Develop and ship reliable, well-tested, maintainable production-quality code.
- Participate in thoughtful code reviews and incorporate iterative feedback.
- Contribute across backend services, product engineering, ML/AI/search, infrastructure, security, or UI/full-stack work based on interests.
- Collaborate with people within and beyond the assigned 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.
- Prior internship experience in backend, infrastructure, security, UI/full-stack, ML, NLP, or search.
- Strong foundation in computer science and software development fundamentals.
- Ability to learn quickly, work as a team player, and demonstrate ownership.
- Comfort working in a fast-paced, data-driven environment.
- Ability to work in a hybrid arrangement four days per week from the Mountain View or San Francisco office.
Culture & Benefits
- Inclusive and diverse workplace committed to attracting and retaining people from diverse backgrounds.
- Opportunity to work on systems used across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and other enterprise platforms.
- Potential eligibility for variable compensation, equity, and benefits depending on the role.
- AI-focused exercise or discussion included in the interview process.
Hiring process
- Complete a brief AI-focused exercise or discussion to demonstrate how AI is considered, designed, and used to drive impact.
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