Senior Machine Learning Engineer, Machine Learning Platform Technologies

Apple Inc

Actively hiring Posted today Verified listing
Seattle, WA Posted 1 day ago $171,600$302,200 / year

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $237k
$145k most similar roles pay here $319k

This role pays more than 69% of similar roles. Most pay $176,721–$246,150 — the shaded band above. At the midpoint, this role pays about $237k versus about $211k 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 324 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 230 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR

As a Senior Machine Learning Engineer on the Partner Adoption team within Apple’s Machine Learning Platform Technologies organization, you will play a pivotal role in developing and implementing end-to-end GenAI search and recommendation applications across various Apple services such as Music, TV+, App Store, Books, Games, Podcasts, and Siri. Your responsibilities include designing large-scale server-side functionality and integrating cutting-edge technologies like large language models to enhance user experiences for millions of users globally. You will collaborate closely with product, platform, and design teams to deliver innovative features that leverage distributed systems and high-throughput services at supercomputing scale. Proficiency in modern programming languages such as Golang, Rust, and Python, along with experience in Kubernetes and Docker on cloud platforms like AWS or Azure, is essential. Familiarity with GenAI frameworks, embedding models, and large-scale serving systems will be highly beneficial for this role.

What you'll do

  • Design and develop end-to-end GenAI search and recommendation applications for multiple Apple services.
  • Build large-scale server-side functionality using modern languages like Golang or Rust.
  • Collaborate on cutting-edge GenAI features powered by large language models.
  • Partner with product, platform, and design teams to deliver innovations to millions of users.
  • Maintain high throughput services at supercomputing scale using Kubernetes and Docker.

What we're looking for

  • 5+ years of industry experience in distributed systems and machine learning modeling.
  • Proficiency in running applications on cloud platforms using Kubernetes and Docker.
  • Strong skills in building high-throughput services at supercomputing scale.
  • Expertise in modern programming languages such as Golang, Rust, and Python.
  • Familiarity with GenAI applications and large language model serving systems.

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