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Scale AI

Supplies AI training data and builds AI apps

Software Engineer New Grad

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A graduation date in Fall 2026 or Spring 2027 and a Bachelor's degree (or equivalent) in a relevant field such as Computer Science, EECS, Computer Engineering, or Statistics.
  • Product engineering experience, such as building full-stack web applications, integrating relevant APIs and services, speaking with customers, determining what to build, and iterating.
  • Previous Product or Software Engineering internship experience.
  • A 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.

Responsibilities

  • Own meaningful, customer-facing work from day one, including shipping products, speaking directly with customers, and iterating quickly.
  • 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 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 ensure 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 machine learning algorithms for contributors completing complex tasks.
  • Develop AI infrastructure products to visualize, query, and explore Scale data.
  • Build a customer service retrieval-augmented generation (RAG) application that handles thousands of questions a day.
  • Integrate a machine learning model that predicts churn into a customer's retention system.

Desired Qualifications

  • Hands-on experience with large language models, evaluations, or agentic systems, whether from internships, research, or personal projects.
  • Open-source contributions or a portfolio of shipped side projects.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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