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

Written by the T&S Network from Apple's posting.

Leads a team of machine learning engineers running the responsible AI lifecycle for Apple's generative AI features: assessing risks, setting safety policy, building mitigations, and monitoring how large language and multimodal models are evaluated, aligned and kept safe. Sits in Apple's Responsible AI group within the Human-Centered Machine Intelligence organization, focused on minimizing unintended consequences for people, systems and society.

• AI misuse and jailbreaks

What you'd do

• Lead and grow a team of machine learning engineers on responsible AI work for generative products
• Analyze evaluation results and run failure investigations before and after launch
• Define safety policies with leadership, design, engineering, legal and regulatory partners
• Give senior leadership safety recommendations and clear blockers for the team

What it asks for

• 5+ years in machine learning, including generative models, NLP or computer vision
• Proficiency in Python and data science libraries such as Pandas
• Experience interpreting human and automated evaluation outputs, especially complex multi-labeled data

Worth knowing

• Leads a team working with sensitive or potentially offensive content

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