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Software Engineer - New Grad

Scale AI · San Francisco, CA

Posted Sep 4, 2026

Est. total comp~$201K–$317K

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From the posting

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast.

Example Projects

Build reinforcement learning and post-training data pipelines that power frontier model development

Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers

Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy

Ship tools that accelerate the growth of new qualified contributors on Scale's platform

Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted …

Excerpt from Scale AI's public job board. Read the full posting.

Job inventory

Required 5 items

Education: Bachelor's degree

Skills and tools: Python, TypeScript, Statistics, React

Preferred none listed in the text we have

We have not read this posting carefully yet, so it cannot show as Mission Ready. These items come from a keyword scan.

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About this listing. Pulled automatically from Scale AI's public job board and refreshed daily; closed roles are removed. Mars Mining Co. is not the employer, does not take applications and does not screen candidates. Field and level labels come from the job title and can be wrong.

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About the pay figures (~): These are estimates. Yearly figures are estimated total comp ranges: the employer's posted pay range, or, with no posted pay, the median to 90th-percentile BLS wage for similar jobs, plus typical benefits and bonus, without stock. Hourly figures for internships and contract roles are posted rates or BLS hourly wage ranges. Figures outside the U.S. and for loosely matched titles are rough ballparks. How we estimate