Machine Learning Engineer, Foundation Models

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$171,600–$302,200 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $237k
$145k most similar roles pay here $319k

This role pays more than 71% of similar roles. Most pay $180,637–$246,150 — the shaded band above. At the midpoint, this role pays about $237k versus about $213k 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 1833 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1493 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Foundation Models

As a Machine Learning Engineer at the senior level within a dynamic team focused on foundation models and deep learning, you will collaborate with world-class engineers and scientists to innovate and solve complex challenges in areas such as natural language processing and multi-modal understanding. Your day-to-day responsibilities include identifying new applications of deep learning for Apple products, contributing to cutting-edge research, and developing scalable solutions that integrate learning with knowledge. The role requires expertise in Python or similar programming languages, proficiency in frameworks like TensorFlow or PyTorch, and a strong background in machine learning algorithms and techniques. This position offers the opportunity to work on large-scale projects that impact millions of users globally, addressing real-world problems through advanced AI technologies.

What you'll do

  • Design and implement advanced machine learning models for natural language processing.
  • Develop innovative solutions using deep learning techniques across various Apple products.
  • Enhance multi-modal understanding capabilities within foundation models.
  • Integrate knowledge-based systems with learning algorithms to improve model performance.
  • Collaborate on research to advance the state-of-the-art in foundation models.

What we're looking for

  • Experience in developing foundation models for NLP and multi-modal understanding.
  • Proficiency in machine learning techniques and deep learning frameworks.
  • Strong background in AI, including natural language processing and knowledge integration.
  • Ability to identify and implement novel applications of deep learning in consumer products.
  • Expertise in combining learning with knowledge in complex systems.

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