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AIML - Senior ML Engineer, Responsible AI and Safety

Apple· Machine Learning and AI / Human-Centered Machine Intelligence (HCMI)
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Hybrid (New York City, Cupertino, San Francisco, Seattle)$184.7k - $324.8kFull-timePosted 4mo ago

About the role

Senior ML Engineer focused on responsible AI for GenAI at Apple, shaping safety policies, risk assessment, mitigation strategies, and evaluation methods across language and multimodal models within Apple’s Responsible AI group (HCMI).

Responsibilities

  • Lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements.
  • Influence how safety of large language and multimodal models is evaluated, aligned, and monitored.
  • Collaborate with cross-functional partners (policy, product, engineering, legal, regulatory) to minimize unintended consequences while elevating feature capabilities and user experience.
  • Contribute to forward-looking research in fairness, robustness, uncertainty, and safety related to generative AI at scale.
  • Develop models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve safety across deployment lifecycles, incorporating human and automated feedback post-launch.
  • Shape safety policies in partnership with leadership and stakeholders; work on architecture mitigation and safety alignment strategies for generative models and production integration.

Qualifications

  • 3+ years of machine learning experience with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision
  • Proficiency in Python and data science libraries (e.g. Pandas) with strong data analysis, visualization, and applied ML workflows
  • Excellent interpersonal skills with ability to translate 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
  • 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 societal impacts of generative AI
  • Passion for building innovative, high-impact products that draw upon interdisciplinary skills

Skills

Required:Machine LearningPythonCross-functional collaborationEvaluation designSafety & ethics awareness
Nice to have:Robustness/Failure analysis

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission potential
  • Relocation assistance
  • Employee stock programs (RSU eligibility)
  • Stock Purchase Plan eligibility
Last updated Sep 18, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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