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Scale AI

Supplies AI training data and builds AI apps

Staff Software Engineer - Enterprise GenAI

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 7 years of full-time engineering experience after graduation.
  • Experience scaling products at high-growth startups.
  • Experience tinkering with or productizing large language models, vector databases, and other AI technologies.
  • Proficiency in Python or JavaScript/TypeScript and SQL.
  • Experience with Kubernetes.
  • Experience with major cloud providers such as AWS, Azure, or Google Cloud Platform.

Responsibilities

  • Own large new areas within the product.
  • Work across backend and frontend systems and interact with large language models and machine learning models.
  • Deliver experiments at high velocity and quality to engage customers.
  • Work across the entire product lifecycle, from conceptualization through production.
  • Solve engineering problems involving scalability and reliability.
  • Multitask and learn new technologies quickly.

About the Company

Scale AI

Supplies AI training data and builds AI apps

Scale AI supplies the data that AI labs use to train and test their models, and it builds custom AI applications for companies and government agencies such as the Pentagon. It first made its name labeling camera and sensor data for self-driving car companies like Waymo, then worked with OpenAI on InstructGPT, the 2022 forerunner of ChatGPT. Freelancers, some of them doctors and lawyers, write, label, and grade examples through its Outlier platform, and labs pay Scale for this data and for tests of model quality. Clients pay Scale to build AI tools on their own data, and some of those tools run on classified military networks. Alexandr Wang and Lucy Guo founded Scale AI in 2016, and it is based in San Francisco.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2016

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