Job Details
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:
- Research and develop Responsible AI evaluation methods to improve the quality of Apple Intelligence's user facing products - Create evaluation data sets to solve difficult, non-routine analysis problems; applying sophisticated analytical methods as needed - Conduct analyses that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations - Build and prototype analysis pipelines iteratively to provide insights at large-scale - Develop extensive knowledge of data structures and metrics, advocating for changes where needed for product development - Partner closely with engineering teams on core machine learning algorithms and systems that are part of how features work
Additional Requirements:
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:
- Research and develop Responsible AI evaluation methods to improve the quality of Apple Intelligence's user facing products - Create evaluation data sets to solve difficult, non-routine analysis problems; applying sophisticated analytical methods as needed - Conduct analyses that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations - Build and prototype analysis pipelines iteratively to provide insights at large-scale - Develop extensive knowledge of data structures and metrics, advocating for changes where needed for product development - Partner closely with engineering teams on core machine learning algorithms and systems that are part of how features work
Additional Requirements:
