Siri - Machine Learning Engineer, Proactive Intelligence at Apple
Santa Clara Valley, California, United States
🇺🇸 (Posted Oct 18 2018)
About the company
Apple is a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
Changing the world is all in a day's work at Apple. If you love innovation, here's your chance to make a career of it. You'll work hard. But the job comes with more than a few perks.
Have you booked a flight and the event was added to your calendar? Received a text from someone you don't know, but your phone does? Siri is just beginning to add intelligence across our iOS apps and need your help. We are looking for a Senior Machine Learning Engineer who can solve novel problems in areas including personalization, information extraction, and performance optimization. You will build intelligent features from the ground up. Your ideas will go from prototype to iOS features to millions of people worldwide.
Skills & requirements
Experience in using machine learning techniques for classification, regression, or ranking problems.
Experience in building predictive models for recommendations or personalization.
Design and implementation of shipping, innovative consumer products.
Minimum of 5 years experience building large-scale consumer facing software.
Experience with search or indexing is a plus.
Experience with deep learning and neural networks is a plus.
Experience in compiled languages C, C++, Objective-C, or Swift is a plus.
Description: In Siri you will use your specialized knowledge and general skills to great novel machine learned features. You will prototype these features one day and optimize inner loops the next. We are looking for your strong mix of education and practical experience. Come dive into these interesting problems head-first.
Using NLP and ML techniques to extract structure from unstructured data. Devising ways to build large-scale models while protecting users' privacy. Ensuring high quality and agility with unit and integration tests.
Education: Master's degree in Computer Science, or equivalent experience.
Instructions how to apply
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