AIML - Sr Data Scientist, Siri and Apple Intelligence, Data and ML Innovation

Summary
Would you like to shape the future of AI based product experiences? Want to contribute to transforming how human beings interact with technology across hundreds of millions of customers and billions of interactions?

We are looking for a Sr Data Scientist to optimize product features that leverage AI and Apple Intelligence. This involves using a broad array of quantitative methods, including developing scalable analytical and engineering methods to find insights from user behavior and LLM training data. The scope will span all areas of AI based products such as Siri's functionality, and extend into Apple's new Apple Intelligence product strategy, with the goal of uncovering insights that improve product quality aligned with the future of AI based product experiences.



Description
As a Sr Data Scientist for Siri Assistant and Apple Intelligence, you will use statistical analysis of structured data to deepen our understanding of how hundreds of millions of people use Siri and other AI based product experiences across an array of devices, including iPhone, HomePod, Mac, and new products yet-to-be-released, and across endless use cases from music to home automation and general knowledge discovery.

You will be responsible to:

Develop metrics and measurement framework that guide iterative product improvement for AI based user experiences.
Employ a diverse toolkit of analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve user experience of AI based products. This includes insights on the performance of the underlying LLMs that these products depend on.
Develop tools with scalable analytical and engineering approaches that expedite and simplify finding insights from user behavior and LLM training data.
Investigate world-wide product usage to identify weaknesses and opportunities to make the product better.
Define metrics and design A/B tests with instrumentation to assess the success of new features.
Build relationships with Engineering leads and product partners across the AIML product ecosystem to drive a privacy-first strategy for analytical insight.
Build credibility with product partners through clarity, structured and user- centric thinking.

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