The Data Platform for AI: High quality training and validation data for AI applications.
Computer Vision • Data Annotation • Sensor Fusion • Machine Learning • Autonomous Driving
August 30
🏢 In-office - San Francisco
The Data Platform for AI: High quality training and validation data for AI applications.
Computer Vision • Data Annotation • Sensor Fusion • Machine Learning • Autonomous Driving
• 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
• 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 Computer Science/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, React, typescript and/or MongoDB • Be available for a Summer 2025 (May/June starts) internship
• Comprehensive health, dental and vision coverage • Retirement benefits • A learning and development stipend • Generous PTO • Commuter stipend
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