Machine Learning Engineer at Security Level 5 | CA, US | Rezi

Machine Learning Engineer at Security Level 5

Machine Learning Engineer

Security Level 5 · CA, US

2 weeks ago

Machine Learning Engineer

Security Level 5 · CA, US

16 days ago
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About the Role

Security Level 5 is an AI security nonprofit dedicated to defending frontier models against nation-state threats. This role involves designing and building the first datacenter purpose-built to the Security Level 5 standard, a critical challenge in AI security engineering.

Responsibilities

  • Designing experiments to measure the effect of SL5 controls on ML research and engineering workflows.
  • Forecasting 2028 frontier workloads and their infrastructure implications.
  • Running experiments at scale and interpreting results for a frontier-scale audience.

Requirements

  • Experience training models at an AI lab or equivalent.
  • Current knowledge of frontier AI methods and infrastructure.
  • Familiarity with the multi-node jobs, accelerators, orchestration, storage, and data pipelines in the training stack.
  • Ability to design experiments that yield meaningful answers.
  • Comfort working at small scale as a proxy for frontier scale and reasoning about proxy limitations.

Location

  • Bay Area

Work Type

  • In-person

Salary/Compensations

  • $200,000 - $350,000 USD per year

Benefits

  • Full benefits, including healthcare, dental, vision, 401k match, and more.

About the Company

  • Security Level 5 is a Bay Area AI security nonprofit.
  • We work with AI labs and US intelligence agencies.
  • We are focused on defending frontier models from priority nation-state-level threats.
  • We are tripling headcount this year.
  • We aim for an at-scale SL5 datacenter build in 2027.
  • We wrote the first version of the SL5 standard with input from industry and government officials.
  • We are designing SL5 architectures purpose-built for frontier AI workloads.
  • We are standing up the reference tech stack to guide labs' buildouts.