Software Engineer - New Grad at Scale AI in San Francisco Bay Area

Summary: Scale AI is a leading AI data foundry focused on accelerating the development of AI applications. The Software Engineer - New Grad will work on various projects, including building tools for contributor growth, fraud detection systems, and advanced matching algorithms, while also developing AI infrastructure products. Responsibilities: - Ship tools to accelerate the growth of new qualified contributors on Scale’s labeling platform - Build methodical fraud-detection systems to remove bad actors and keep Scale’s contributor base safe and trusted - Use models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale - Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy - Build methods to automatically measure, train, and optimally match labelers to tasks based on performance - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data - Create a customer service RAG application that handles 1000s of questions a day - Integrate a cutting-edge ML model that predicts churn with a customer's retention system Required Qualifications: - A graduation date in Fall 2025 or Spring 2026 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 Typescript, React, Python and/or MongoDB Required Skills: Product engineering experience, Building web apps full-stack, Typescript, React, Python Important Skills: MongoDB, Shipping high-quality products, Building systems for large data Nice-to-Have Skills: Soft skills Benefits: Comprehensive health, dental and vision coverage, Retirement benefits, A learning and development stipend, Generous PTO, A commuter stipend