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Jobs / Scaleai

Software Engineer - New Grad

Scaleai · San Francisco, CAjunior

In short

  • ▸Ingeniero de software nuevo graduado que construye productos de IA con impacto real desde el primer día.
  • ▸Trabajo diario: desarrollar sistemas de datos, evaluación y herramientas de IA, interactuar directamente con clientes y equipos multidisciplinarios.
  • ▸Destacado: se trabaja directamente con modelos de vanguardia y sistemas críticos para gobiernos y empresas globales.

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What they ask for

  • ✓Título de Bachillerato en CS, EECS, Ingeniería de Computación o Estadística con graduación en otoño 2026 o primavera 2027.
  • ✓Experiencia en ingeniería de producto: desarrollo full-stack de aplicaciones web, integraciones con APIs y trabajo directo con clientes.
  • ✓Experiencia previa en pasantías de ingeniería de software o producto.
  • ✓Historial comprobado de entregar productos de alta calidad a gran escala.
  • ✓Experiencia construyendo sistemas que procesan grandes volúmenes de datos.
  • ✓Conocimiento práctico en Python, Typescript, React y/o MongoDB.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonTypescriptReactMongoDBAPIsML modelsReinforcement LearningEvaluation InfrastructureAgentic AIRAG

Who should you write to at Scaleai?

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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. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. 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 • Build a customer service RAG application that handles thousands of questions a day • Integrate a cutting-edge ML model that predicts churn into a customer's retention system Requirements • A graduation date in Fall 2026 or Spring 2027 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 Product/Software Engineering internship experience • Track record of shipping high-quality products and features at scale • 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 — whether from internships, 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 completely • Write the Market — our research puts us at the frontier, and we bring our partners there first • Three Moves Ahead — consider the consequences of consequences, and plan accordingly <div class=

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