Software Engineering Intern (Summer 2027)

Scaleai · London, UKjunior

En corto

▸Desarrollar aplicaciones de IA reales para gobiernos y empresas con impacto a gran escala.
▸Trabajar en infraestructura de datos, evaluación de modelos y herramientas de UI/UX para más de 100k usuarios.
▸Internos tienen propiedad de trabajo que se entrega, mentoría de expertos y camino a contratación fija.

Fluent in English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

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¿Qué piden?

✓Titulado en 2027 o 2028 con carrera en CS, EECS, ingeniería de computadores o estadística
✓Disponible para verano 2027 en San Francisco
✓Experiencia en ingeniería de productos: apps web full-stack, APIs, trabajo con clientes
✓Experiencia previa en pasantías de CS/ingeniería de software
✓Historial comprobado de entregar productos de alta calidad
✓Experiencia con sistemas que procesan grandes volúmenes de datos

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonTypescriptReactMongoDBLLMsevaluationsagentic systemsUI/UXdata pipelinesAPIs

¿A quién escribirle en Scaleai?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: • Creating custom AI applications that will impact millions of citizens • Generating high-quality training data for national LLMs • Upskilling and advisory services to spread the impact of AI Example Projects: • Build reinforcement learning and post-training data pipelines that power frontier model development • Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers • Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy • Ship tools that accelerate the growth of new qualified contributors on Scale's platform • Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted • Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale • Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy • Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks • Develop new AI infrastructure products to visualize, query, and explore Scale data 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) • Available for a Summer 2027 internship (May/June start dates) in San Francisco • 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 • Track 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 Please reference the job posting's subtitle for where this position will be located. Nice to have: • Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects • Open source contributions or a portfolio of shipped side projects How we work: Our credos shape how we make decisions and work as a team: • Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve • Team Flow — ideas, energy, and support move freely across teams; optimize for the whole • Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage • Find the 20% — find the inputs that drive the outcomes and execute them

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