Sr Machine Learning Engineer, Proactive - ML Systems Engineering

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
37 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 59% of similar roles. Most pay $196,375–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $223k 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 · Sr Machine Learning Engineer, Proactive - ML Systems Engineering

As a Senior Machine Learning Engineer at Apple’s Proactive Intelligence team, you will join a dynamic group dedicated to enhancing user experiences through personalized intelligent features on various devices. Your primary responsibilities include developing and integrating machine learning systems, establishing scalable evaluation processes, fostering a collaborative team culture, and driving engineering excellence. You will work closely with complex software ecosystems to deliver innovative capabilities that anticipate and meet users' needs seamlessly across Apple’s product lineup. The role requires expertise in Python and proficiency in at least one compiled language such as C++, Swift, or Java, alongside experience in ML pipelines and resource-constrained computing environments. This position offers the opportunity to impact millions of customers by creating intelligent experiences that surprise and delight them daily.

What you'll do

  • Develop and ship machine learning systems for Apple’s devices.
  • Establish scalable automated processes for evaluating and monitoring ML systems.
  • Create innovative tools and techniques to enhance problem-solving approaches.
  • Obsess over user experience, focusing on delivering personalized intelligent features.
  • Contribute to a positive team culture that encourages growth and respect among members.

What we're looking for

  • 3+ years of experience building production machine learning systems
  • Proficiency in Python and at least one compiled language like C++, Swift, Java, Kotlin, or Rust
  • Strong skills in developing ML pipelines and handling large datasets
  • Experience with resource-constrained computing environments such as embedded or mobile systems
  • Commitment to engineering excellence and best practices

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