Senior Machine Learning Engineer, Machine Learning Platform Technologies

Apple Inc

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$181,100–$318,400 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $250k
$143k most similar roles pay here $337k

This role pays more than 78% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $250k 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 · Senior Machine Learning Engineer, Machine Learning Platform Technologies

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 scaling GenAI search and recommendation applications across various Apple services such as Music, TV+, App Store, Books, Games, Podcasts, and Siri. Your responsibilities include designing and implementing large-scale server-side functionality, collaborating closely with product and design teams to deliver cutting-edge features powered by advanced language models, and ensuring these innovations reach millions of users globally. You will need expertise in distributed systems, machine learning modeling, high-throughput services at supercomputing scale, cloud platforms like AWS or Azure, Kubernetes, Docker, and modern programming languages such as Golang, Rust, and Python. Familiarity with GenAI applications, agentic frameworks like Langchain and Langgraph, embedding models, and large-scale serving systems is highly desirable for this role.

What you'll do

  • Design and build large-scale server-side functionality for Apple’s search and recommendation platform.
  • Develop end-to-end GenAI search and recommendation applications using large language models.
  • Collaborate on feature and product design across multiple Apple services like Music, TV+, App Store.
  • Partner with engineering teams to explore and deliver cutting-edge AI features at supercomputing scale.
  • Maintain systems written in modern programming languages such as Golang, Rust, or Python.

What we're looking for

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

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