Data and ML Director

Apple Inc

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $244k
This role $404k
$147k $534k
below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $208,631–$278,825 — the blue band above. At the midpoint, this role pays about $404k versus about $244k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Data and ML Director

The Places Data and ML Director leads the engineering efforts for the Places Data team to build a global dataset powering Maps and location experiences. This role involves leading all aspects of engineering to ingest, rank, and conflate hundreds of sources of places information, including photos and reviews. You will architect a sophisticated ML-centric data platform, combining AI/ML techniques with software engineering to process and contextualize unstructured data from text to 3D imagery. Key technologies and skills include Computer Vision, Generative AI, Natural Language Processing, Deep Neural Networks, Distributed Systems, and Information Retrieval. You will utilize SQL, scripting languages, and foundational mathematics like linear algebra and statistics to solve complex map data challenges and develop both large-scale data center grade and lightweight edge solutions.

What you'll do

  • Lead all aspects of engineering for the Places Data team.
  • Combine AI/ML techniques with software engineering to solve complex map data challenges.
  • Architect a sophisticated ML-centric data platform for processing large-scale datasets.
  • Develop models ranging from large-scale data center solutions to lightweight edge solutions.
  • Process and contextualize unstructured data from text to 3D imagery using Computer Vision and Generative AI.
  • Define goals and shape product roadmaps in collaboration with partner and product teams.
  • Provide technical and career mentorship to the engineering team.
  • Communicate technical complexities clearly to engineering partners, product management, and executives.

What we're looking for

  • 15+ years of experience leading engineering teams applying sophisticated statistical and ML methods to large, complex datasets.
  • Experience in Algorithms, Architecture, AI, Data Mining, Deep Neural Networks, Distributed Systems, Information Retrieval, or Machine Learning.
  • Experience in Computer Vision, Natural Language Processing, and Unstructured Web Data.
  • Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.
  • Familiarity with databases, SQL, and scripting languages.
  • Proven ability to translate requirements from design to implementation and build/inspire teams to achieve results.
  • Master's degree or equivalent experience in AI, Machine Learning, Mathematics, Computer Science, or a related field.
  • Experience in Maps Data, large-scale ML model deployment, or publishing research papers in leading AI/ML journals (preferred).

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