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← Scale AI

Senior Software Engineer, Identity

Scale AI · San Francisco, CA; New York, NY; Washington, DC · San Francisco, CA

CHECKED 15H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Build core identity infrastructure securing Scale's Generative AI Data Engine.
  • Support RLHF and evaluation powering the world's most advanced LLMs.
  • Gain front-row exposure to AI adoption across enterprises and governments.

What they offer

  • base salary
  • equity
  • benefits

Ideal candidate

Infrastructure-minded engineer with 5+ years owning secure distributed systems who cares deeply about identity and access. Collaborative communicator who translates complex security concepts and thrives owning projects end-to-end.

Requirements

  • 5+ years of full-time engineering experience post-graduation with focus on infrastructure and identity systems
  • Expertise in IAM controls, Infrastructure as Code (Terraform, Pulumi) and microservice deployment
  • Hands-on experience with OpenFGA, Authzed, Cedar, Topaz or similar authorization frameworks at scale
  • Strong understanding of Zanzibar-based ReBAC models, relationship tuples and access control evaluation
  • Strong knowledge of OAuth 2.0, OIDC, SAML, JWT and IdP solutions like EntraID and Okta
  • Extensive experience in software development, distributed systems and public cloud platforms (AWS preferred)
  • Track record of independent ownership of successful engineering projects
  • Excellent communication and collaboration skills

Lab profile

About Scale AI

AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.

What they build

  • Training, fine-tuning, and evaluation data for frontier models
  • Multimodal and coding data for audio, image, video and world models
  • Custom AI applications for enterprise and global public sector

Known for

  • Leading data partner for frontier model developers
  • Trusted across enterprise, defense and public sector
  • Depth in multimodal, coding and physical AI
  • End-to-end capability from strategy to delivery and evaluation

Key facts

  • Founded in 2016
  • Headquartered in San Francisco, California
  • Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
More about Scale AI →
Apply on the lab’s site ↗