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Apple

Machine Learning Engineer - Notifications & Personalization

Apple Cupertino, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

7 h ago
machine-learning Senior (5-10 yrs) Full-time United States
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About the role

You will train, deploy, and evaluate machine learning models to enhance iOS system experiences like notifications and widgets. You will also provide technical leadership to build scalable infrastructure while adhering to strict device power and performance constraints.

What they look for

Machine Learning Software Engineering Model Training Model Deployment On-device Intelligence iOS Development Technical Leadership Data Pipelines Model Evaluation Embedded Systems Privacy-preserving Intelligence Performance Optimization System Architecture

Requirements

Candidates must have 7-10 years of experience in shipping machine learning models at scale and working with embedded operating systems. A degree in Computer Science, Software Engineering, Machine Learning, or a related field is preferred.

Full description

Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part of the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day.

We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting your next Focus. In our team you will bring expertise in machine learning and software engineering to train and deploy models that surprise and delight our customers every day.

Description

You will work closely with talented Software and ML engineers on our team, and across Apple to train, deploy, and evaluate machine learned models that power new experiences across iOS and all Apple platforms.

As we build the future of iOS, you will be responsible for driving the development of the models and infrastructure that power intelligent system experiences. You will be responsible for providing technical leadership across a wide variety of products and features, proposing and executing innovative solutions, and improving our model training and evaluation pipelines in service of quality and future feature development. You will be a core participant in developing new models and architectures that result in high quality features while adhering to device power and performance constraints.

We are passionate about user experience and privacy. Our mission is to craft user experiences which leverage the power of machine learning and on-device intelligence to preserve our customers privacy. Come help build state-of-the art intelligence impacting over a billion users.

Minimum Qualifications

7-10 years of experience: Shipping and evaluating at scale Training and deploying machine learned models Building great user experiences Working on embedded operating systems

Preferred Qualifications

BS, M.S. or PhD in Software Engineering, Computer Science, Machine Learning, or related field

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