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

Apple - Cupertino, CA

Full-time - Mid Level

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

As a Senior Data Scientist for Siri and Apple Intelligence, you will play a pivotal role in shaping the future of AI-based product experiences at Apple. This position involves optimizing product features that leverage AI and Apple Intelligence, utilizing a wide range of quantitative methods. Your work will focus on developing scalable analytical and engineering methods to extract insights from user behavior and large language model (LLM) training data. The scope of your responsibilities will encompass all areas of AI-based products, including Siri's functionality and Apple's new product strategies, with the ultimate goal of enhancing product quality in alignment with the future of AI-driven experiences. In this role, you will conduct statistical analyses of structured data to gain a deeper understanding of how hundreds of millions of users interact with Siri and other AI-based products across various devices, such as iPhone, HomePod, and Mac. You will be tasked with developing metrics and a measurement framework that guides iterative product improvements for AI-based user experiences. Your analytical toolkit will include diverse methodologies and technical strategies aimed at uncovering opportunities to enhance user experiences with AI products. This includes providing insights into the performance of the underlying LLMs that these products rely on. Additionally, you will develop tools that employ scalable analytical and engineering approaches to expedite the process of deriving insights from user behavior and LLM training data. Investigating worldwide product usage will be essential to identify weaknesses and opportunities for product enhancement. You will also define metrics and design A/B tests with appropriate instrumentation to evaluate the success of new features. Building strong relationships with engineering leads and product partners across the AIML product ecosystem will be crucial to driving a privacy-first strategy for analytical insights. Your ability to communicate clearly and think in a structured, user-centric manner will help you build credibility with product partners.

Responsibilities

• 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.
• Develop tools with scalable analytical and engineering approaches that expedite and simplify finding insights from user behavior and LLM training data.
• Investigate worldwide 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.

Requirements

• Proven experience as a data science practitioner.
• Proficiency with applying quantitative methods to structured & unstructured data for exploratory data analysis, pattern recognition, insights generation, metrics development, and scaling analytical tools.
• Experience with understanding the complexity of user behavior for AI-based product experiences, as well as designing, analyzing, and interpreting A/B experiments.
• Strong programming skills in data manipulation & processing including SQL, Python, and ideally software engineering experience.
• Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work.
• High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
• Excellent verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations.
• Proven experience in cultivating partner relationships and influencing decisions with data.
• Master's degree in a technical or quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics or Physics.

Nice-to-haves

• PhD preferred.
• Software Engineering experience.