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About the Role
As a New Grad Software Engineer at Scale, you will own meaningful, customer-facing work from day one, shipping products, talking directly to customers, and iterating fast to develop reliable AI systems for the world's most important decisions.
Responsibilities
- 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
Skills
- Python
- Typescript
- React
- MongoDB
- LLMs
- evaluations
- agentic systems
Location
- San Francisco
Work Type
- full-time
Experience Level
- New Grad
Education Level
- Bachelor's degree (or equivalent) in Computer Science, EECS, Computer Engineering, Statistics
Salary/Compensations
- $124,000—$162,000 USD
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend
About the Company
- 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.
Equal Opportunity
- 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.
- We comply with the United States Department of Labor's Pay Transparency provision.