Scale AI

Company Name: Scale AI, Inc.

Headquarters: San Francisco, California, United States (Offers Remote & Hybrid Roles)

Founded In: 2016

Company Type: Private (Venture-Backed)

Company Size: 1,000+ employees

Official Email: Not publicly listed.

Official Website: https://scale.com

Official Phone: Not publicly listed.

Industry: Artificial Intelligence (AI), AI Infrastructure, Machine Learning, Enterprise Software

Company Categories:

• Artificial Intelligence
• AI Infrastructure
• Machine Learning
• Enterprise SaaS

Remote Policy: Hybrid / Geo-Restricted Remote (Many positions support remote work in approved countries or regions, while others are hybrid or office-based.)

About Company

Scale AI is one of the world's leading AI infrastructure companies, building the data, evaluation, and deployment platforms that power today's most advanced artificial intelligence systems. Founded in 2016 by Alexandr Wang and Lucy Guo, the company initially focused on high-quality data annotation for machine learning and has since expanded into a full-stack AI platform serving enterprises, governments, and leading AI model developers.

Scale AI's mission is to develop reliable AI systems for the world's most important decisions. The company provides training data, reinforcement learning from human feedback (RLHF), model evaluation, red teaming, and enterprise AI solutions that help organizations build, deploy, and govern AI applications safely and effectively. Its customers include major technology companies, Fortune 500 businesses, healthcare organizations, and government agencies.

For job seekers, Scale AI offers opportunities across software engineering, machine learning, data science, product management, research, security, operations, sales, customer success, and AI policy. Engineers work on distributed systems, large language models (LLMs), AI evaluation platforms, cloud infrastructure, and enterprise AI products used at global scale.

The company supports flexible work arrangements depending on the team and role. While many engineering and go-to-market positions are available remotely within approved regions, other roles require employees to work from offices in locations such as San Francisco, New York, Seattle, London, or Washington, D.C. Candidates should review each job listing for specific location requirements.

As AI adoption continues to accelerate worldwide, Scale AI remains one of the fastest-growing companies in the AI infrastructure industry, making it an attractive employer for professionals interested in machine learning, generative AI, enterprise software, and large-scale cloud systems.

Tech Stack

Python, Go, TypeScript, React, JavaScript, Kubernetes, Docker, AWS, Google Cloud Platform (GCP), PostgreSQL, GraphQL, Machine Learning, Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), REST APIs, Git, Terraform, Snowflake