AIML - Sr Manager, Evaluation - Data Science & Insights

Apple • Seattle, WA

1d

About The Position

Apple's AIML Evaluation team is looking for a seasoned, technical leader to lead a team within our Data Science and Insights organization. The organization leads Evaluation for Apple Intelligence, Siri AI and a large portfolio of other billion+ user facing features in SWE. Successful candidates will have strong experience in traditional human evaluation methodology, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features.

As a Senior Manager on the Data Science and Insights team, you'll lead a team of data scientists focused on a core pillar of evaluation, in close collaboration with teams across the company. Your experience will enable you to thoughtfully balance the various tradeoffs involved in creating successful features that meet Apple's high customer expectations for both quality and privacy.

Requirements

• 6+ years of experience in data science and machine learning evaluation
• 3+ years leading technical teams
• Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar
• Demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers
• Strong experience in human evaluation methodology for consumer-facing products at scale
• Hands-on experience building and deploying LLM-based autograders and rubrics
• Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders

Nice To Haves

• Experience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features
• Experience with logging infrastructure and instrumentation for AI product quality measurement
• Track record of growing senior individual contributors and leads from within your team
• Recruiting data science and machine learning talent in competitive hiring markets
• Familiarity with evaluation frameworks for agentic systems and tool-use

Responsibilities

• Lead a team of data scientists focused on a core pillar of evaluation.
• Collaborate with teams across the company.
• Thoughtfully balance tradeoffs in creating successful features.
• Drive improvements in models and agentic features using LLM-based autograders and rubrics.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior