Senior Machine Learning Engineer, Proactive - ML Systems Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
135 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $226k
This role $214k
$135k most similar roles pay here $293k

This role pays less than 60% of similar roles. Most pay $197,981–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $226k 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 · Senior Machine Learning Engineer, Proactive - ML Systems Engineering

As a Sr Machine Learning Engineer, Proactive - ML Systems Engineering, you will join the Proactive Intelligence team to build features that anticipate user needs and create personalized experiences by adapting to behaviors using machine learning running locally on devices. You will be responsible for shipping high-quality software for machine learning systems, establishing scalable automated processes for evaluation and monitoring, and developing innovative tools and techniques to solve complex problems. The role requires proficiency in Python and at least one compiled language such as C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust. You will work on integrating new features into complex systems while managing ML pipelines and large datasets in production environments, specifically addressing the challenge of delivering intelligent experiences within resource-constrained computing environments like mobile devices and embedded systems.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Ship high-quality software for machine learning systems across multiple Apple devices.
  • Establish scalable automated processes for the evaluation and monitoring of ML models.
  • Develop innovative tools and techniques to solve complex engineering problems.
  • Integrate new features into highly complex existing software systems.
  • Implement machine learning capabilities that run locally on user devices.
  • Uphold engineering best practices to ensure rapid and confident deployment.
  • Communicate complex technical ideas through effective storytelling and documentation.

What we're looking for

  • At least 3 years of experience building production machine learning systems.
  • Proficiency in Python programming.
  • Proficiency in at least one compiled language such as C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust.
  • Experience working with ML pipelines and large datasets in production environments.
  • Experience in resource-constrained computing, such as embedded systems or mobile development.

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