AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 37 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 59% of similar roles. Most pay $184,150–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $217k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety

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As a Senior Machine Learning Engineer on Apple's Data and ML Innovation team, you will lead the development of responsible AI technologies that uphold privacy and quality standards while powering innovative user experiences. Your day-to-day responsibilities include collaborating with researchers and engineers to define and deliver cutting-edge machine learning solutions, developing frameworks for training and evaluating foundation models, and researching methods to ensure model safety and robustness. You will also work on mitigating risks associated with large language models (LLMs) in Apple products and contribute to the architectural design of AI platforms. This role requires expertise in Python, deep learning toolkits like JAX, PyTorch, and TensorFlow, as well as a strong background in responsible AI research, published in top ML venues.

Skills

Python PyTorch Tensorflow JAX LLMs Foundation Models Diffusion Models CI/CD Responsible AI FAccT ACL CHI CVPR EMNLP ICML Interspeech NeurIPS UIST

What you'll do

Define and deliver responsible machine learning technologies for Apple products.
Develop methods to train and evaluate foundation models considering responsibility and safety.
Research and advance model robustness and safety alignment techniques for foundation models.
Create mitigations and safeguards for the safe deployment of large language models in products.
Advocate for scientific excellence by contributing to the architecture of AI-powered platforms.

What we're looking for

Extensive research experience in responsible AI and publication record in top ML venues.
Expertise in machine learning principles and development methodologies for foundation models.
Proficiency in Python and deep learning frameworks like JAX, PyTorch, and TensorFlow.
Ability to handle sensitive content and work with offensive or controversial material.
Strong background in computer science, machine learning, or related fields at the BS/MS/PhD level.
Experience in training large language models (LLMs) and ensuring safety alignment.

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