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Описание вакансии
Текст:
TL;DR
Software Engineering Intern (Summer 2027) (AI): Building data pipelines, evaluation infrastructure, agentic AI applications, fraud-detection systems, matching algorithms, and AI infrastructure products with an accent on full-stack product engineering, large-scale data processing, and model reliability. Focus on shipping production features, developing observable and safe AI tooling, and optimizing systems for high-volume contributor and customer workflows.
Location: San Francisco, United States; available for a Summer 2027 internship with May or June start dates
Company
Scale AI develops reliable AI systems, high-quality data products, and full-stack technologies for enterprises, governments, and leading AI model developers.
What you will do
- Build reinforcement learning and post-training data pipelines for frontier model development.
- Develop evaluation infrastructure to measure model reliability for enterprise and public sector customers.
- Ship agentic AI applications and tooling that is observable, testable, and safe to deploy.
- Build fraud-detection, contributor-quality, and matching systems that operate at large scale.
- Create efficient UI/UX tooling and AI infrastructure products for visualizing, querying, and exploring Scale data.
Requirements
- Graduation in Fall 2027 or Spring 2028 with a Bachelor's degree or equivalent in Computer Science, EECS, Computer Engineering, Statistics, or a related field.
- Availability for a Summer 2027 internship in San Francisco, with a May or June start date.
- Product engineering experience, including building full-stack web applications and integrating APIs and services.
- Previous Computer Science or Software Engineering internship experience.
- A track record of shipping high-quality products and features and building systems that process large volumes of data.
- Experience with Python, TypeScript, React, and/or MongoDB.
Nice to have
- Hands-on experience with LLMs, evaluations, or agentic systems through coursework, research, or personal projects.
- Open-source contributions or a portfolio of shipped side projects.
Culture & Benefits
- Interns own real, shipped work on the same roadmaps as full-time engineers.
- Mentorship from experienced engineers and a culture focused on ownership, speed, truth-seeking, and product quality.
- Cross-functional collaboration and emphasis on customer impact, execution, and long-term consequences.
- Inclusive and equal opportunity workplace with reasonable accommodations available during the application and recruiting process.
Hiring process
- Candidates are subject to a 90-day waiting period before being reconsidered for the same role.
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