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ML Engineer - Automated Evaluation and Adversarial Design
Summary by AIEngineer.careers
ML Engineer - Automated Evaluation and Adversarial Design is a LLM Evaluation Engineer role (full-time). with Meta. in SEATTLE, US. Imported listing (source: localjobs.com). Apply on the employer's site (localjobs.com).
Imported listing (source: localjobs.com) · Apply on localjobs.com
SEATTLE · US
—
Full-time
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from localjobs.com
Meta is hiring an ML Engineer in Seattle to build and scale automated evaluation systems and design adversarial and stress-testing methodologies for AI features. The role centers on creating adversarial test suites, running stress tests, and assessing AI feature quality, with a focus on multi-turn agentic experiences. Candidates should bring hands-on experience with adversarial or red-teaming test methodologies for ML models.
Responsibilities
- Build and scale automated evaluation systems for AI features
- Design adversarial and stress-testing methodologies
- Create adversarial test suites for ML models
- Run stress tests and assess AI feature quality, particularly for multi-turn agentic experiences
Requirements
- Experience with adversarial or red-teaming test methodologies for ML models
- Experience building or scaling automated evaluation systems
- Background in machine learning engineering
Nice to Have
- Experience evaluating multi-turn agentic AI experiences
Tech Stack
Adversarial Testing
Meta
Menlo Park · US · 78865+ employees
Meta Platforms, Inc. is a leading technology company that builds social networking, messaging, and virtual/augmented reality products. Its core business includes applications like Facebook, Instagram, Messenger, and WhatsApp, alongside Reality Labs, which focuses on immersive experiences and AI.
