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: 44 days ago
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $210k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 52% of similar roles. Most pay $174,800–$246,150 — the shaded band above. At the midpoint, this role pays about $210k versus about $210k for comparable roles.

Based on 240 similar postings.

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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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 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 Machine Learning Engineer at Apple's Data and ML Innovation team, you will join a forward-thinking group dedicated to advancing machine learning technologies for groundbreaking user experiences. This tech lead position requires expertise in responsible AI and foundation models, focusing on developing methods and frameworks that ensure safety and responsibility during model training and evaluation. Your daily tasks include researching robustness methods for foundation models and creating safeguards for the safe deployment of large language models (LLMs) within Apple products. Ideal candidates possess a strong background in applied research with publications in top ML venues and are proficient in Python along with deep learning frameworks such as JAX, PyTorch, and TensorFlow. Experience in LLM training and safety alignment is highly valued.

Skills

Python PyTorch TensorFlow JAX LLMs Foundation Models Diffusion Models CI/CD Responsible AI Fairness Safety Alignment Model Robustness Mitigations and Safeguards

What you'll do

Develop methods and frameworks for training and evaluating foundation models responsibly.
Advance research on safety alignment and robustness of foundation models.
Create mitigations and safeguards for safe deployment of large language models.
Uphold Apple's values, privacy standards, and quality in ML technologies.
Publish research in top machine learning venues related to responsible AI.

What we're looking for

Strong track record in applied research related to responsible AI.
Publications in top machine learning venues such as ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST.
Expertise in developing methods and frameworks for training and evaluating foundation models with responsibility and safety.
Proficiency in Python and deep learning toolkits like JAX, PyTorch, Tensorflow.
Experience researching and advancing safety alignment and model robustness for foundation models.

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