AIML - Machine Learning Engineer, Foundation Models

Apple Inc

Quick summary

Work type
On-site
Location
New York, NY
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 in areas such as natural language processing and multi-modal understanding. Your daily tasks will involve identifying new applications of deep learning for Apple products, pushing the boundaries of what is possible with AI technologies. You should be proficient in Python or similar programming languages, have expertise in TensorFlow or PyTorch, and possess a strong background in machine learning algorithms and neural networks. The role requires an understanding of large-scale data processing and model training, as well as experience with cloud platforms like AWS or Azure for deploying machine learning solutions at scale.

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.
  • Stay updated with the latest research trends in AI and apply them to product development.

What we're looking for

  • Extensive experience in machine learning and deep learning.
  • Strong background in natural language processing and multi-modal understanding.
  • Expertise in developing novel applications using deep learning techniques.
  • Experience working with foundation models and large-scale AI systems.
  • Proficient in combining learning with knowledge in AI projects.

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