Director, Data Science and Insights

Apple Inc

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$311,100–$496,900 / yr
Posted
98 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $236k
This role $404k
$147k most similar roles pay here $534k

This role pays more than 99% of similar roles. Most pay $204,762–$266,412 — the shaded band above. At the midpoint, this role pays about $404k versus about $236k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Director, Data Science and Insights

AIML - Director, Data Science and Insights leads the Data Science and Insights team within the AIML Evaluation organization. This role involves leading a large team of data scientists and machine learning engineers to define evaluation strategies for Apple Intelligence, Siri, and a broad portfolio of features serving over a billion users. The successful candidate will drive the methodological agenda for human evaluation, logging, A/B testing, and the development of LLM-based autograders and rubrics to improve models and agentic features. Key responsibilities include recruiting talent, partnering with cross-functional engineering teams, and communicating results to executive leadership. Required expertise includes advanced degrees in quantitative fields, extensive experience in machine learning evaluation for consumer products, and technical proficiency in building automated grading systems to ensure high quality and privacy standards across various software platforms.

What you'll do

  • Define the evaluation strategy for measuring quality across Apple Intelligence, Siri, and other large-scale software features.
  • Lead a large team of data scientists and machine learning engineers through recruiting, development, and retention.
  • Drive methodologies for human evaluation, logging, A/B testing, and LLM-based autograders to improve model performance.
  • Partner with product teams to integrate evaluation results into development cycles to achieve measurable quality gains.
  • Collaborate with peer leaders in AI models, machine translation, and synthetic data to align technical goals.
  • Represent the team and report findings to executive leadership across AIML and software engineering divisions.

What we're looking for

  • 10+ years of experience in data science and machine learning evaluation.
  • 6+ years of experience leading large technical teams.
  • Advanced degree in a quantitative field such as Statistics, Computer Science, or Machine Learning.
  • Demonstrated track record of running organizations of 50+ data scientists and/or machine learning engineers.
  • Deep experience in human evaluation methodology, logging, and A/B testing for consumer-facing products at scale.
  • Hands-on experience building and deploying LLM-based autograders and rubrics to improve models and agentic features.
  • Experience evaluating large consumer AI products like conversational assistants, search systems, or agentic features.
  • Strong written and verbal communication skills to engage with engineers and senior executive leadership.

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