Software Engineering Intern (Summer 2027)
- San Francisco, United States
- Internship
- Intern/New Grad
- Bachelor's degree
- Posted
Skills
Required
- building systems
- building web apps
- APIs
- Python / Typescript / React / MongoDB
- LLMs / evaluations / agentic systems
Join Scale as a Software Engineering Intern for Summer 2027. As an intern, you will work on real, impactful projects alongside full-time engineers, receive mentorship from industry experts, and have the opportunity to return as a full-time employee. Your responsibilities will include building reinforcement learning and data pipelines, developing evaluation infrastructure, shipping AI applications, and creating fraud-detection systems. You will also have access to comprehensive health coverage, personal and career growth opportunities, and a supportive community.
Responsibilities
- Participer activement à la construction de pipelines de données pour l'apprentissage par renforcement et le développement de modèles.
- Développer des infrastructures d'évaluation pour mesurer la fiabilité des modèles pour les clients.
- Contribuer à la création d'applications d'IA agentique et des outils qui les rendent observables et testables.
- Track record of shipping high-quality products and features
Requirements
- Available for a Summer 2027 internship (May/June start dates) in San Francisco
- Experience building systems that process large volumes of data
- A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics)
- Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating
- Previous Computer Science/Software Engineering internship experience
Experience with Python, Typescript, React, and/or MongoDB
- Open source contributions or a portfolio of shipped side projects
- Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects
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