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AIML - Senior ML Engineer, Responsible AI and Safety

San Francisco

Pay
Pay not listedSimilar roles state $165K–$240K
Work setting
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Employment
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What you’ll work on

Full posting
  • Lead the responsible AI lifecycle end-to-end, from risk assessment to continuous improvement

  • Evaluate, align, and monitor the safety of large language and multimodal models

  • Collaborate with cross-functional partners to reduce unintended consequences of AI

  • Contribute to research in fairness, robustness, uncertainty, and safety

From the employer’s posting
lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements
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
contribute to forward‑looking research in fairness, robustness, uncertainty, and safety

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Status in our records
Live
First seen by us
Aug 11, 2026 · 79 days ago
Recorded sightings
387
Last seen by us
Oct 30, 2026
Employer says posted
Jun 10, 2026

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Job description

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Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple’s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you’ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high‑quality AI experiences to users around the globe. You’ll also contribute to forward‑looking research in fairness, robustness, uncertainty, and safety — pushing the boundaries of responsible AI at scale.
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San Francisco

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