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Описание вакансии
Текст:
TL;DR
Software Engineering Intern (AI): Building full-stack AI applications, data pipelines, evaluation infrastructure, and scalable tooling for public-sector and enterprise use with an accent on product engineering, large-scale data processing, and reliable AI systems. Focus on developing agentic applications, measuring model reliability, optimizing contributor and customer matching, and shipping production-quality features.
Location: San Francisco, United States; Summer 2027 internship with a May or June start.
Company
Scale AI develops reliable AI systems, high-quality training data, 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 for measuring model reliability for enterprise and public-sector customers.
- Ship agentic AI applications and tooling that makes them observable, testable, and safe to deploy.
- Build fraud-detection, quality-estimation, and contributor-to-customer matching systems at scale.
- Develop efficient UI/UX tooling combined with machine learning algorithms for large-scale contributor workflows.
- Create 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, beginning in May or June.
- Product engineering experience, including building full-stack web applications, integrating APIs and services, interacting with customers, and iterating on products.
- Previous Computer Science or Software Engineering internship experience and a record of shipping high-quality products and features.
- Experience 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 engineering professionals.
- Work guided by customer focus, cross-team collaboration, quality, measurable impact, and long-term planning.
- Inclusive and equal-opportunity workplace with reasonable accommodations for applicants with disabilities.
Hiring process
- Candidates applying based in Qatar may be asked to provide residency and nationality information for immigration compliance.
- Successful Qatar-based candidates receive support with the visa and permit application process, subject to approval by Qatari authorities.
- Candidates must wait 90 days before being reconsidered for the same role.
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