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AIML - Linguistic Annotation Engineer, Safety & Red Teaming

Apple
Cambridge
11 months ago
Applications closed

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Summary:
Would you like to play a part in building the next generation of generative AI applications at Apple? We’re looking for data scientists and engineers to work on ambitious projects that will impact the future of Apple, our products, and the broader world.In this role, you’ll have the opportunity to tackle innovative problems in machine learning, particularly focused on LLM's. As a member of the Apple HCMI/Responsible AI group, you will be working on Apple's generative models that will power a wide array of new features, as well as longer term research in the generative AI space. Our team is currently interested in large generative models for vision and language, with particular interest on safety, robustness, and uncertainty in models.
Key Qualifications:
Description:
Apple Intelligence is powered by high quality, detailed linguistic annotations. This role is instrumental in coordinating and documenting annotation projects with human annotators, data scientists, and machine learning engineers. Responsibilities include: - Working with red teaming engineers to develop and create red teaming project strategies, interfaces, and guidelines - Relaying and interpreting project guidelines and instructions for red teamers and annotators - Serving as an interface for feedback and questions from red teamers and annotators back to data scientists - Prioritizing and scheduling projects to align with organizational goals and timelines - Working with data scientist and red teaming engineers to distill findings into recommendations for product engineering teams - Monitoring and managing individual annotator performance metrics (accuracy, throughput, etc.) while providing feedback and guidance for improvement
Additional Requirements:

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