Элитная стажировка в одном из главных AI-хабов с реальной ответственностью за фичи и передовым стеком. Единственный минус - очень высокий порог входа.
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Hirify AI/Оригинал
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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