AIML - Director, Data Science and Insights

Apple Inc

Quick summary

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

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

Apple’s AIML Evaluation team seeks a seasoned technical leader to serve as the Head of Data Science and Insights, overseeing a large team of data scientists and machine learning engineers responsible for evaluating Apple Intelligence, Siri, and other billion-user features. This role involves setting evaluation strategies, driving methodological agendas in human evaluation, logging, A/B testing, and LLM-based autograder development, and collaborating with product and engineering teams to integrate evaluations into the product lifecycle. The ideal candidate has over 10 years of experience leading technical teams, an advanced degree in a quantitative field, and hands-on expertise in AI product evaluation methodologies at scale. Proficiency in Python, SQL, and machine learning frameworks is essential, along with strong communication skills for interfacing with senior leadership.

What you'll do

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

What we're looking for

  • 10+ years of experience in data science and machine learning evaluation with at least 6 years leading large technical teams
  • Advanced degree in a quantitative field such as Statistics, Computer Science, or Machine Learning
  • Proven leadership in managing organizations of over 50 data scientists and/or machine learning engineers
  • Extensive expertise in human evaluation methodology, logging, and A/B testing for consumer-facing products at scale
  • Hands-on experience with LLM-based autograders and rubrics to drive proactive improvements in models and agentic features
  • Strong communication skills to effectively engage with both technical teams and senior leadership

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