AIML - Director, Data Science and Insights

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$305,000–$487,200 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $396k
$65k most similar roles pay here $532k

This role pays more than 99% of similar roles. Most pay $135,000–$214,500 — the shaded band above. At the midpoint, this role pays about $396k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 969 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 756 roles with salary data.

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At a glance

TL;DR · AIML - Director, Data Science and Insights

The Director of Data Science and Insights at Apple’s AIML Evaluation team leads a large group of data scientists and machine learning engineers responsible for evaluating the quality of Apple Intelligence, Siri, and other billion-user software features. This role involves setting evaluation strategies, driving methodological agendas in human evaluation, logging, A/B testing, and deploying LLM-based autograders to improve models and agentic features. The ideal candidate has over 10 years of experience in data science and machine learning evaluation, including leading teams of 50+, with expertise in traditional evaluation methods and hands-on experience with advanced technologies like large language model autograding systems. They should possess strong communication skills and the ability to collaborate effectively across various Apple divisions, ensuring that evaluation results translate into tangible product improvements while maintaining high standards for quality and privacy.

What you'll do

  • Setting the evaluation strategy for Apple Intelligence, Siri, and SWE features.
  • Leading a team of data scientists and machine learning engineers.
  • Driving methodological agenda in human evaluation, logging, AB testing, and LLM-based tools.
  • Embedding evaluation into product development cycles to improve shipped quality.
  • Partnering with AIML Evaluation platforms and other Apple teams on initiatives.

What we're looking for

  • 10+ years of experience in data science and machine learning evaluation
  • At least 6 years of leadership experience managing large technical teams
  • Advanced degree in a quantitative field like Statistics or Computer Science
  • Deep expertise in human evaluation, logging, and A/B testing for consumer products
  • Hands-on experience with LLM-based autograders and rubrics to improve models
  • Strong communication skills for interaction with engineers and senior leadership

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