Software Engineering Intern (Summer 2027)
- London, United Kingdom
- Internship
- Intern/New Grad
- Bachelor's degree
- Posted
Skills
Required
- building systems
- Python / Typescript / React / MongoDB
- LLMs / evaluations / agentic systems
Preferred
- building web apps
- APIs
Join Scale, a leading AI company dedicated to developing reliable AI systems for critical global decisions. As a Software Engineering Intern for Summer 2027, you will work on impactful projects that address challenges in the public sector. You will have the opportunity to own real, shipped work, receive mentorship from top talent, and potentially return as a full-time employee. Benefits include comprehensive health coverage, personal and career growth opportunities, a supportive community, and parental support.
Participer activement à la conception, au développement et à la mise en œuvre d'applications d'IA personnalisées qui auront un impact sur des millions de citoyens.
Responsibilities
- Collaborer avec des équipes interfonctionnelles pour créer des pipelines d'apprentissage par renforcement et des infrastructures d'évaluation qui mesurent la fiabilité des modèles.
- Contribuer à l'expansion de la plateforme de Scale en expédiant des outils qui accélèrent la croissance de nouveaux contributeurs qualifiés.
- Track record of shipping high-quality products and features
- 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
Requirements
- 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)
- Experience building systems that process large volumes of data
- Previous Computer Science/Software Engineering internship experience
Experience with Python, Typescript, React, and/or MongoDB
- Available for a Summer 2027 internship (May/June start dates)
- Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects
Preferred
- Open source contributions or a portfolio of shipped side projects
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