AIML - Machine Learning Engineer, Foundation Models

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $250k
$143k most similar roles pay here $337k

This role pays more than 85% of similar roles. Most pay $180,637–$246,150 — the shaded band above. At the midpoint, this role pays about $250k 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 · AIML - 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 daily tasks will involve identifying new applications of deep learning for Apple’s cutting-edge products, leveraging advanced technologies like TensorFlow or PyTorch, and working with large datasets to train and optimize foundation models. This role requires expertise in Python, proficiency in machine learning frameworks, and a strong background in AI research, particularly in areas relevant to enhancing knowledge integration within learning systems.

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.
  • Conduct research on multi-modal understanding to enhance product features.
  • Collaborate on combining learning with knowledge to improve model performance.
  • Identify new applications of deep learning in emerging technology areas.

What we're looking for

  • Experience in developing foundation models for NLP and multi-modal understanding.
  • Proficient in machine learning techniques and deep learning frameworks.
  • Strong background in AI, with a focus on innovative applications in tech products.
  • Ability to work collaboratively in a fast-paced environment with world-class engineers.
  • Expertise in identifying and implementing novel deep learning solutions.

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