AIML - Machine Learning Engineer, Foundation Models

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$272,100 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $227k
$160k most similar roles pay here $284k

This role pays more than 66% of similar roles. Most pay $191,612–$246,150 — the shaded band above. At the midpoint, this role pays about $227k versus about $219k 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.

Most-posted roles

View all roles at Apple Inc

At a glance

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

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As a Machine Learning Engineer at the Foundation Models team, you will join a dynamic group of engineers and scientists dedicated to advancing deep learning research through real-world applications. Your daily responsibilities include developing novel solutions in natural language processing, multi-modal understanding, and integrating knowledge with learning systems. You will work on large-scale distributed systems and contribute to the deployment of foundation models that enhance Apple products. Ideal candidates possess expertise in web-scale information retrieval, human-like conversation agents, and multi-modal perception for both current and future hardware platforms. This role offers a unique opportunity to publish your research while directly impacting millions of users through innovative applications in deep learning technology.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD AWS Azure Google Cloud Platform PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Notebook Git GitHub Swagger RESTful API

What you'll do

  • Develop novel applications of deep learning for Apple products.
  • Tackle challenging problems in foundation models and deep learning.
  • Work on natural language processing, multi-modal understanding projects.
  • Train or deploy large-scale distributed systems for machine learning.
  • Identify and implement innovative solutions in web-scale information retrieval.

What we're looking for

  • Proven experience in training large machine learning models.
  • Expertise in deploying large-scale distributed systems.
  • Background in web-scale information retrieval systems.
  • Skill in developing human-like conversational agents.
  • Experience with multi-modal perception for product applications.

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