Scale AI Logo

Scale AI

Software Engineering Intern (Summer 2027)

Posted 14 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Internship
In-Office
San Francisco, CA, USA
Internship
Software Engineering Interns will build and ship production software for AI systems, including data pipelines, evaluation infrastructure, agentic applications, fraud detection, matching algorithms, contributor tools, and AI infrastructure products. Interns own roadmap work with mentorship and collaborate on scalable, high-quality products. The role requires product engineering experience, prior software engineering internship experience, large-scale data systems experience, and familiarity with Python, TypeScript, React, and/or MongoDB.
The summary above was generated by AI

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.

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
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 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

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help 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. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

HQ

Scale AI San Francisco, California, USA Office

San Francisco, CA, United States, 94107

Similar Jobs

3 Days Ago
Hybrid
San Francisco, CA, USA
50-50 Hourly
Internship
50-50 Hourly
Internship
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Software Engineering Interns will work on front-end, back-end, full-stack, security, or mobile projects. Responsibilities include scoping, designing, implementing, and shipping end-to-end features, collaborating with mentors and engineering teams, iterating quickly, and gaining experience with APIs, frameworks, coding agents, and programming languages while building products for millions of users.
Top Skills: APIsC#FrameworksGoJavaJavaScriptPythonTypescript
24-36 Hourly
Internship
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Develop and maintain enterprise platforms, infrastructure, deployment pipelines, security monitoring, and quality monitoring. Build automation for infrastructure provisioning, configuration management, code packaging, deployment, and continuous integration and delivery across public and private clouds. Document procedures and test plans, monitor system performance, support secure engineering practices, and collaborate with delivery and operations teams to improve software quality and throughput. Use AI tools to enhance development, testing, and automation.
Top Skills: AgileAi ToolsAWSBuild ToolsConfiguration Management ToolsContainersContinuous DeliveryContinuous IntegrationDatabasesDeployment ToolsHigh-Level Programming LanguagesInfrastructure ProvisioningKanbanLinuxOrchestration ToolsPublic CloudScrumSource Control ToolsWindows
16 Days Ago
Hybrid
50K-68K Annually
Internship
50K-68K Annually
Internship
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Software engineering interns develop code, resolve critical problems, and improve system stability and resilience on defense-related projects. Interns collaborate with experienced engineers, contribute to real-world customer solutions, and gain exposure to frontend, backend, cloud, DevOps, database, image processing, machine learning, and GIS technologies through BAE Systems’ LEAP summer 2027 program.
Top Skills: AgileAngularArcgisAWSAzureBashC#C++ChartjsCSS3D3Data StructuresDockerElasticsearchGitGitlabGradleHelmHTML5JavaJavaScriptJenkinsKafkaKubernetesMathworksMavenMongoDBMySQLNode.jsObject-Oriented ProgrammingOpencvOpenglOraclePostgresPythonPyTorchQgisQtRancherReactRedisSassSpring FrameworkWebglWebsockets

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account