Machine Learning Scientist - Personalization Science, Apple Media Products

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
39 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $237k
$156k most similar roles pay here $318k

This role pays more than 69% of similar roles. Most pay $183,713–$249,750 — the shaded band above. At the midpoint, this role pays about $237k versus about $217k for comparable roles.

Based on 239 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 · Machine Learning Scientist - Personalization Science, Apple Media Products

Join the Personalization Science team at Apple Media Products as a Machine Learning Scientist and contribute to enhancing user experiences across platforms like App Store, Apple TV, Music, Podcasts, and Books. Your primary responsibilities will include developing cutting-edge machine learning models for personalized recommendations, conducting rigorous experiments to refine these models, and deploying production-quality code globally. You’ll also publish your findings in academic literature and help shape the future of personalization within Apple’s expansive services ecosystem. Ideal candidates possess deep expertise in areas such as deep learning, reinforcement learning, unsupervised methods, and generative AI for recommendation systems, along with practical experience in building scalable solutions using Python libraries like TensorFlow, PyTorch, scikit-learn, and big data technologies. This role offers the unique opportunity to impact billions of users worldwide through innovative personalization science at Apple’s massive scale.

What you'll do

  • Develop and apply cutting-edge machine learning techniques for personalizing user experiences.
  • Conduct human evaluations and experiments to test and enhance models rigorously.
  • Translate experimental insights into actionable feature improvements for production.
  • Write high-quality code to deploy personalized recommendation systems globally.
  • Publish research findings in scientific literature and present at academic conferences.

What we're looking for

  • 6+ years of experience in machine learning and AI for personalization.
  • Expertise in deep learning, reinforcement learning, and unsupervised methods.
  • Experience with generative AI applied to recommendation systems.
  • Practical knowledge of building scalable recommendation systems.
  • Proficiency in Python ML/AI tech stack including TensorFlow, PyTorch, scikit-learn.
  • Technical skills in production-quality software development and big data technologies.
  • Strong written and oral communication abilities.

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