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AIML - Senior ML Engineer, Responsible AI and Safety

Apple· Machine Learning and AI / Human-Centered Machine Intelligence (HCMI)
Apply on company site
Hybrid (Cupertino, CA / New York, NY / San Francisco, CA / Seattle, WA)$184.7k - $324.8kfull-timePosted 4mo ago

About the role

Senior ML Engineer focused on responsible AI for generative features at Apple. Lead responsible AI lifecycle end-to-end, assess risks, define policies, develop mitigation strategies, and drive continuous improvements. Collaborate with cross-functional partners to minimize unintended consequences and elevate user experience, contribute to research in fairness, robustness, uncertainty, and safety, and help shape safety policies for global GenAI products.

Responsibilities

  • Lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements.
  • Influence how we evaluate, align, and monitor the safety of large language and multimodal models.
  • Collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience.
  • Contribute to forward-looking research in fairness, robustness, uncertainty, and safety — pushing the boundaries of responsible AI at scale.
  • Shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders—ensuring safeguards balance user protection and product innovation.
  • Work on architecture mitigation and safety alignment strategies for generative models and drive integration in production.
  • Develop models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve safety of generative models throughout the deployment lifecycle.
  • Incorporate human and automated feedback post-launch to continuously improve feature safety and user trust.

Qualifications

  • 3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
  • Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows
  • Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives
  • Strong analytical and independent problem-solving skills, with ability to navigate ambiguity
  • Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data
  • Hands-on experience collecting and analyzing language, vision, or multimodal datasets
  • Background in failure analysis, quality engineering, or robustness testing for ML-driven systems
  • Must be comfortable working with sensitive or potentially offensive content
  • BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience
  • Proven success contributing in a highly cross-functional environment
  • Experience shipping complex AI systems at global scale
  • Background in model explainability, uncertainty estimation, or interpretability
  • Curiosity and research interest in fairness, bias, and the societal impacts of generative AI
  • Passion for building innovative, high-impact products that draw upon interdisciplinary skills

Skills

Required:Machine LearningPythonData Analysis & VisualizationCommunicationEvaluation & Testing Design
Nice to have:Robustness/Fault AnalysisSafety & Fairness Research

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission payments
  • Relocation assistance
  • Apple shareholder opportunities through stock programs
Last updated Aug 21, 2026. Interested? Apply on the company site.

About Apple

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