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AIML - Machine Learning Engineer, Red Teaming - Responsible AI and Safety

Apple· Responsible AI / Red Teaming
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Hybrid (San Francisco Bay Area)$184.7k - $324.8kfull-timePosted 3mo ago

About the role

Machine Learning Engineer to join Apple's Responsible AI red-teaming function, focusing on actively probing Apple Intelligence features to find real safety vulnerabilities, build tooling, and scale red-teaming efforts.

Responsibilities

  • Own a dedicated cluster of Apple Intelligence features and build sustained expertise in their architecture and failure modes
  • Actively probe systems pre-ship and post-ship to find real, reproducible vulnerabilities
  • Invent novel attack strategies and keep pace with newly published jailbreak and attack research
  • Validate and triage findings by severity and reach, and drive them through to mitigation
  • Design and build automated red-teaming tooling to scale attack generation and testing coverage
  • Identify gaps in policy and evaluation coverage and feed them back to eval and mitigation teams
  • Partner with the internal and external crowd and with adjacent security teams to route findings appropriately
  • Work with highly sensitive content, including exposure to offensive and controversial material.

Qualifications

  • MS, or PhD in Computer Science, Machine Learning, Statistics, or related fields; or an equivalent qualification acquired through other avenues.
  • Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures.
  • Strong engineering skills and experience in writing production-quality code in Python.
  • Deep experience in foundation model-based AI programming (i.e.: using DSPy for optimizing foundation model prompts, for example) and a drive to innovate in this space.
  • Experience working with noisy, crowd-based data labels and human evaluations.
  • Experience working in the Responsible AI space.
  • Prior scientific research and publication experience.
  • Strong organizational and operational skills working with large, multi-functional, and diverse teams.
  • Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable.

Skills

Required:PythonFoundation model-based AI programmingAdversarial thinking / red-teamingGenerative models evaluation/product development
Nice to have:Noisy crowd-based data labeling

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation (eligibility may apply)
  • employee stock programs including discretionary RSUs and stock purchase plan options
Last updated Aug 14, 2026. Interested? Apply on the company site.

About Apple

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