Scale AI
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Software Engineer - New Grad
role at
Scale AI
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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), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private 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 at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco, New York, and Seattle is $124,000—$150,000 USD. Scale employees in eligible roles are also granted equity-based compensation, subject to Board approval. Details about the specific salary range and equity eligibility will be shared by your recruiter during the hiring process. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO, with potential additional benefits such as a commuter stipend. For accommodations, please contact accommodations@scale.com.
Location and Other Notices Please note: reference the job posting subtitle for the position location. We are an equal opportunity employer and comply with applicable pay transparency and disability accommodation laws. We collect, retain and use personal data for recruitment purposes in accordance with our privacy policy.
About Scale: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our products power the world's most advanced LLMs, generative models, and computer vision models, and we work with organizations across government and industry to accelerate AI deployment.
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Software Engineer - New Grad
role at
Scale AI
Get AI-powered advice on this job and more exclusive features.
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), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private 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 at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco, New York, and Seattle is $124,000—$150,000 USD. Scale employees in eligible roles are also granted equity-based compensation, subject to Board approval. Details about the specific salary range and equity eligibility will be shared by your recruiter during the hiring process. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO, with potential additional benefits such as a commuter stipend. For accommodations, please contact accommodations@scale.com.
Location and Other Notices Please note: reference the job posting subtitle for the position location. We are an equal opportunity employer and comply with applicable pay transparency and disability accommodation laws. We collect, retain and use personal data for recruitment purposes in accordance with our privacy policy.
About Scale: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our products power the world's most advanced LLMs, generative models, and computer vision models, and we work with organizations across government and industry to accelerate AI deployment.
#J-18808-Ljbffr