Machine Learning Research Scientist - Health AIML

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $201,300–$367,400 / yr
Posted: 99 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k

This role $284k

$148k most similar roles pay here $391k

This role pays more than 90% of similar roles. Most pay $183,733–$249,750 — the shaded band above. At the midpoint, this role pays about $284k versus about $217k 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 1792 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1453 roles with salary data.

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At a glance

TL;DR · Machine Learning Research Scientist - Health AIML

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As a Machine Learning Research Scientist at Apple’s Health AIML team, you will lead cutting-edge research into multimodal models for health and fitness applications, impacting millions of users globally. Your daily tasks include designing and scaling new model architectures to enhance intelligence in health data representation, conducting independent and collaborative experiments, optimizing model performance, and contributing to the training infrastructure. You must have a PhD in Computer Science or related fields with industry experience, expertise in deep learning frameworks like PyTorch and TensorFlow, and a track record of publishing state-of-the-art research. Preferred qualifications include knowledge of time-series modeling, self-supervised learning, and cross-modal training, as well as the ability to safely deploy large language models in health contexts.

Skills

PyTorch TensorFlow JAX Python Multimodal_models Time_series_modeling Self_supervised_learning Cross_modal_training Deep_learning_frameworks CI/CD

What you'll do

Lead research into health and fitness representation models and multimodal models.
Design, prototype, and scale new architectures for improved model intelligence.
Execute and analyze experiments to enhance model performance independently.
Study, debug, and optimize computational efficiency of models.
Contribute to the development of training and inference infrastructure.

What we're looking for

PhD in Computer Science/Engineering, Machine Learning, Statistics, Mathematics or related field.
Industry experience with contributions to major large language model training runs.
Proven track record of publishing state-of-the-art research.
Strong skills with deep learning frameworks like PyTorch, JAX, TensorFlow.
Experience in training and evaluating multimodal models.

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