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Job Overview
At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), building on our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations.
Example Projects
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, guaranteeing 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
Requirements
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 & Benefits Base salary range for this full‑time position: $124,000 – $155,000 USD (locations: San Francisco, New York, Seattle). In addition to base salary, eligible employees receive equity and a comprehensive benefits package including health, dental, and vision coverage, retirement benefits, a learning and development stipend generous PTO, and a commuter stipend.
About Us At Scale, we develop reliable AI systems for the world’s most important decisions. Our products provide high‑quality data and full‑stack technologies that power leading models, enabling enterprises and governments to build, deploy, and oversee AI applications with real impact. We collaborate with industry leaders such as Meta, Cisco, DLA Piper, 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 Employment We are proud to be inclusive and equal‑opportunity workplace. We comply with all applicable laws and 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 to applicants with disabilities.
Important Employment Policies Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This ensures a fair and thorough evaluation of all applicants.
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Example Projects
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, guaranteeing 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
Requirements
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 & Benefits Base salary range for this full‑time position: $124,000 – $155,000 USD (locations: San Francisco, New York, Seattle). In addition to base salary, eligible employees receive equity and a comprehensive benefits package including health, dental, and vision coverage, retirement benefits, a learning and development stipend generous PTO, and a commuter stipend.
About Us At Scale, we develop reliable AI systems for the world’s most important decisions. Our products provide high‑quality data and full‑stack technologies that power leading models, enabling enterprises and governments to build, deploy, and oversee AI applications with real impact. We collaborate with industry leaders such as Meta, Cisco, DLA Piper, 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 Employment We are proud to be inclusive and equal‑opportunity workplace. We comply with all applicable laws and 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 to applicants with disabilities.
Important Employment Policies Our policy requires a 90‑day waiting period before reconsidering candidates for the same role. This ensures a fair and thorough evaluation of all applicants.
#J-18808-Ljbffr