Job Details

Overview

At Scale, our mission is to accelerate the development of AI applications. Scale has been the leading AI data foundry for 8 years, helping fuel advancements in AI including generative AI, defense applications, and autonomous vehicles. With our Series F round, we're accelerating access to frontier data to support the road to Artificial General Intelligence (AGI) and expanding capabilities for enterprise and government evaluations.

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 thousands of questions a day
• Integrate a cutting-edge ML model that predicts churn with a customer's retention system

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

Compensation and Benefits

Compensation packages for eligible roles include base salary, equity, and benefits. The posted range reflects the minimum and maximum target for new hire salaries, determined by location and factors including skills, experience, interview performance, and education. Scale employees in eligible roles are granted equity-based compensation, subject to Board approval. The recruiter can share the specific salary range for your location and confirm equity eligibility during the hiring process. Benefits include comprehensive health, dental, and vision coverage; retirement benefits; a learning and development stipend; generous PTO; and, in some roles, a commuter stipend.

Location and Salary Disclosure

Please reference the job posting subtitle for the location. For pay transparency purposes, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $124,000 - $150,000 USD.

Important Notices

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

About Us

At Scale, we believe the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to accelerate AI development across industries. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by leading AI companies, government agencies, and enterprises. We are expanding our team to accelerate the development of AI applications.

We are committed to an inclusive and equal opportunity workplace. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We provide reasonable accommodations for applicants with disabilities; contact ...@scale.com for assistance. See the U.S. Department of Labor's Know Your Rights poster for more information. We collect and use personal data in accordance with our privacy policy and for recruitment purposes.

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