AIML - Machine Learning Engineer, Foundation Models

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$258,100 / yr
Posted
3 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $215k
$161k most similar roles pay here $269k

This role pays more than 57% of similar roles. Most pay $194,262–$246,150 — the shaded band above. At the midpoint, this role pays about $215k versus about $220k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · AIML - Machine Learning Engineer, Foundation Models

As a Machine Learning Engineer at the senior level, you will join a dynamic team of engineers and scientists dedicated to advancing foundation models and deep learning. Your primary responsibilities include developing novel applications of deep learning in real-world use cases such as natural language processing and multi-modal understanding, contributing to both research publications and practical product improvements that benefit millions of users. You will work with large-scale distributed systems and web-scale information retrieval technologies, focusing on creating human-like conversation agents and enhancing on-device intelligence while ensuring strong privacy protections. This role requires expertise in training large models and deploying them at scale, along with a deep understanding of multi-modal perception for existing products and future hardware platforms.

What you'll do

  • Develop novel applications of deep learning in Apple's products.
  • Tackle challenging problems in foundation models and deep learning research.
  • Work on natural language processing, multi-modal understanding, and knowledge integration.
  • Train or deploy large-scale machine learning models for real-world use cases.
  • Identify opportunities to enhance user experience through innovative AI solutions.

What we're looking for

  • Proven experience in training or deploying large models.
  • Expertise in building large-scale distributed systems.
  • Background in web-scale information retrieval.
  • Skill in developing human-like conversation agents.
  • Experience in multi-modal perception for products.
  • Knowledge of on-device intelligence with privacy focus.

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