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Research Engineer, Privacy Evals - Meta Superintelligence Labs

Meta· Artificial Intelligence
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Menlo Park, CA$154k - $217kFull-timePosted 3w ago

About the role

Research Engineer role in Meta Superintelligence Labs focusing on privacy evaluation of frontier AI models, developing scalable automated evaluations, risk-focused artifacts, and aligning evaluation priorities with launch timelines across pretraining and post-training stages.

Responsibilities

  • Build and continuously refine evaluations for multimodal and agentic frontier AI models across pretraining and post-training
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Produce auditable technical artifacts, including evaluation reports and model cards, at high reliability and speed
  • Scope and deliver end-to-end evaluations under ambiguous and rapidly shifting requirements, re-prioritizing as the threat landscape and Meta’s frontier models evolve
  • Work across research, engineering, policy, and legal teams to align evaluation priorities with launch timelines

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 1+ years of experience in ML engineering, LLM research, or a related technical role
  • Background in one or multiple of privacy-preserving LLM development, memorization, pretraining data curation and post-training alignment
  • Proficiency in Python and experience with machine learning frameworks
  • Experience scoping, designing, and delivering medium-to-large technical projects with minimal direction, defining milestones and coordinating dependencies
  • Proven experience in software engineering practices, including version control, testing, and code review practices

Skills

Required:PythonMachine learning frameworksEvaluation design

Benefits

  • Benefits information referenced in the posting (see Meta Careers)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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