Senior Machine Learning Engineer - System Experience Personalization

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$181,100–$272,100 / yr
Posted
41 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $218k
This role $227k
$160k most similar roles pay here $284k

This role pays more than 58% of similar roles. Most pay $189,738–$246,150 — the shaded band above. At the midpoint, this role pays about $227k versus about $218k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer - System Experience Personalization

As a Senior Machine Learning Engineer on the iOS experience personalization team, you will play a pivotal role in enhancing the intelligence and personalization of core system features like notifications management, smart stacks, and app prediction. Your daily responsibilities include collaborating with software and ML engineers to design and implement machine learning models that adhere to device power and performance constraints while ensuring user privacy is preserved. You will leverage your expertise in deep learning architectures and various modeling techniques to create innovative data solutions across iOS and other Apple platforms. The ideal candidate has a strong background in machine learning, experience with TensorFlow, PyTorch, or similar frameworks, and proficiency in handling large-scale datasets for real-world applications.

What you'll do

  • Design and implement new machine learning models to enhance iOS system experiences.
  • Provide technical leadership in creating innovative data and ML solutions across Apple platforms.
  • Ensure high-quality feature delivery while adhering to device power and performance constraints.
  • Collaborate with cross-functional teams to scale ML solutions for delivering new user experiences.
  • Focus on preserving customer privacy while leveraging machine learning for personalized features.

What we're looking for

  • Master’s degree or PhD in Machine Learning, Computer Science, or related field.
  • 5+ years of experience building machine learning systems.
  • Expertise in various machine learning algorithms and deep learning architectures.
  • Understanding of supervised, unsupervised, and reinforcement learning techniques.
  • Experience with resource-constrained computing environments like mobile devices.

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