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Posted:
2 weeks ago
Location:
San Francisco, CA
Latest Funding:
$14.3B ( Jun 1, 2025 ) · $15.9B Total
Annual Revenue:
$760M
Headcount:
600
$124,000 - $150,000
Apply Manually
Join Scale as a Software Engineer to build AI applications, enhance contributor platforms, and develop innovative solutions in a collaborative environment.
As a Software Engineer at Scale, you will work on various projects including fraud detection systems, UI/UX tooling, and AI infrastructure products, contributing to the development of AI applications.
- Bachelor’s degree in Computer Science, EECS, Computer Engineering, Statistics or equivalent
- Product engineering experience such as building web apps full-stack
- Previous Product/Software Engineering Internship experience
- Experience building systems that process large volumes of data
- Experience with Typescript, React, Python and/or MongoDB
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 acc...
2016
$14.3B on Jun 1, 2025
$15.9B
$760M
600
Scale AI is a San Francisco-based artificial intelligence company founded in 2016 by Alexandr Wang and Lucy Guo. The company focuses on accelerating AI development through data-centric infrastructure and managing the entire machine learning lifecycle. With approximately 900 employees, Scale AI has achieved a valuation of nearly $14 billion, supported by funding from major investors like Amazon and AMD. The company specializes in high-quality training data generation, providing labeled datasets for various applications, including computer vision, natural language processing, and generative AI. Scale AI offers services such as data annotation, end-to-end machine learning solutions, and a specialized large language model called Defense Llama for national security applications. It has delivered over 13 billion annotations and labeled 87 million generative AI data points, serving leading enterprises and government agencies across multiple industries.
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