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AIML - Machine Learning Engineer, Evaluation - Responsible AI and Safety

Apple Inc. · Posted 7 days ago

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Machine LearningLarge Language ModelsDiffusion ModelsMultimodal ModelsData PipelinesPythonHuman-in-the-LoopAuto-grading

Shape how Apple's generative AI features are evaluated for safety and inclusivity, turning policy risks into measurable criteria that drive ship/no-ship decisions for global products.

Summary: 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 experienced Senior Machine Learning Engineer to help shape the future of responsible AI evaluation for the next generation of generative features.

In this role, you will work to assess, quantify, and improve the safety and inclusivity of Apple’s Generative-AI powered features and products. Your work will tackle innovative problems in machine learning, particularly focused on large language models for text generation, diffusion models for image generation, and mixed model systems for multimodal applications. You will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models, while upholding Apple's values, privacy, and quality standards.

As part of Apple’s Responsible AI group within the Software Engineering 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. You’ll anticipate safety risks and deliver trusted, high‑quality AI experiences to users around the globe.

Description: We are seeking a visionary Senior Machine Learning Engineer to drive Responsible AI Evaluation efforts for global generative AI products. In this role, you will provide critical technical execution for operationalizing policy and risk assessments into measurable criteria; designing datasets; developing LLM- and human-in-the-loop methods for data analysis; and implementing robust data pipelines to produce reliable, scalable insights that inform ship/no-ship product decisions.

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There are 543 open roles at Apple Inc. right now. This role is one of 567 Machine Learning Engineer openings and centers on Machine Learning, Data Pipelines, Data Analysis, and Dataset Design.

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