- Apple
- Cupertino, CA
- Full-Time
- 19 days ago
Machine Learning Engineer - Notifications & Personalization.
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Machine Learning Engineer - Notifications & Personalization: our view in 3 lines...
- The Role:This role is for an experienced machine learning engineer working on personalised iOS system experiences using privacy-preserving on-device intelligence.
- The Person:The person will train, deploy, and evaluate machine learned models, improve model training and evaluation pipelines, and drive development of the models and infrastructure behind intelligent iOS experiences.
- Requirements:The ideal candidate has 7-10 years of experience shipping and evaluating at scale, training and deploying machine learned models, building great user experiences, and working on embedded operating systems.
About the role
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