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AI Robustness Certification Engineer

Noah Kovacs

Full-time · Job · Los_Angeles

About the role

Our mission is to make AI deployments provably safe before they reach real users. Elara Intelligence builds robustness certification toolkits used by AI teams at regulated industries — healthcare, financial services, and government — to formally validate that a model will behave within defined performance bounds under adversarial conditions. You'll design and implement stress-testing frameworks, build automated certification pipelines, and work with external AI teams to run their models through our evaluation suite. This is not about running a few accuracy checks — it's about formal robustness testing under distribution shift, adversarial perturbation, and edge case injection. We collaborate with academic groups publishing on certified robustness and expect this role to contribute to our public research output. If you enjoy sitting at the intersection of formal methods and practical ML, and you want your work to prevent real-world harm, this is the right environment.

Responsibilities

  • Design stress-testing and robustness certification frameworks for ML models
  • Build automated pipelines for adversarial perturbation and distribution shift testing
  • Partner with external AI teams to run certification engagements
  • Contribute to internal research publications on certified robustness
  • Maintain and extend the Elara certification SDK

Requirements

  • 5+ years ML research or engineering experience
  • Deep understanding of adversarial ML and robustness metrics
  • Strong Python skills with PyTorch or TensorFlow
  • Familiarity with formal verification concepts is a plus
  • Ability to communicate technical findings clearly to non-ML stakeholders

Benefits

  • Fully remote with annual team summit
  • Research publication support and conference travel
  • Comprehensive health, dental, and vision coverage
  • Stock options in a mission-driven startup
  • Unlimited PTO

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

AI & Machine Learning Engineers Automation & AI Workflows

Skills

python pytorch tensorflow scikit-learn statistics

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