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Senior Machine Learning Engineering Manager, Responsible AI and Safety - AIML/SWE

Apple· Machine Learning and AI
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Hybrid (Cupertino, CA), Hybrid (Seattle, WA)$206.2k - $356.4kFull-timePosted 1w ago

About the role

Engineering Manager leading a team focused on responsible AI for generative features. Responsible for end-to-end responsible AI lifecycle, safety policies, mitigation architectures, and collaboration with cross-functional partners to ensure safe, globally representative AI experiences.

Responsibilities

  • Lead a team of machine learning engineers driving 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.
  • Set technical direction, anticipate safety risks, and develop a team to deliver trusted, high‑quality AI experiences to users globally.
  • Partner with leadership, design, engineering, legal, and regulatory teams to define robust safety policies that align with product goals.
  • Provide critical technical direction for dataset design and safety alignment strategies, overseeing end-to-end mitigation architectures in production.
  • Hands-on analysis of evaluation results, failure investigations, and leveraging human and automated feedback to improve safety and user trust.
  • Foster an inclusive culture of technical excellence, empower senior leadership with safety recommendations, and remove roadblocks to team success.

Qualifications

  • 5+ years of experience in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision, with 2+ years directly managing engineering teams.
  • Proven track record of leading technical teams through ambiguity to deliver high‑quality, high‑impact results.
  • Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows.
  • Excellent communication skills and proven ability to translate complex technical insights for cross‑functional partners, senior leadership, and executives.
  • Strong analytical and independent problem-solving skills, with ability to guide teams through ambiguity.
  • Familiarity interpreting outputs from human and automated evaluations, particularly with complex, nuanced, or multi‑labeled data, to inform mitigation improvements and shipping decisions.
  • Experience collecting and analyzing language, vision, or multimodal datasets.
  • Background in failure analysis, quality engineering, or robustness testing for ML‑driven systems.
  • Comfortable leading a team that works with sensitive or potentially offensive content.
  • BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience.
  • Demonstrated success building and leading a team in a highly cross‑functional environment.
  • Experience shipping complex AI systems at global scale.
  • Background in model explainability or interpretability.
  • Curiosity and research interest in fairness, bias, and the societal impacts of generative AI.
  • Passion for building innovative, high‑impact products and teams that draw upon interdisciplinary skills.

Skills

Required:Machine LearningTeam LeadershipProgramming (Python)Data Analysis & VisualizationSafety & Risk Assessment

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • education reimbursement for advancing career (tuition)
  • discretionary bonuses or commission payments (potential)
  • relocation (potential)
Last updated Oct 16, 2026. Interested? Apply on the company site.

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