Role overview
The goal of Maps Search team is to take Apple’s Maps to the next level of intelligence and accuracy using machine learning and artificial intelligence techniques. Engineers and scientists on our team work on a wide spectrum of approaches to improve search experiences on Apple Maps.
What you'll work on
Develop and optimize Machine Learning algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search
Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.
Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.
Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
Develop and optimize Machine Learning algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search
Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.
Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.
Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!
What we're looking for
MS in computer science or equivalent field with 7+ years of industry experience
Proven record in delivering end-user facing Machine Learning driven products
Strong programming experience in one or more of the following: Java, C++, Python
Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.
Excellent interpersonal and communication skills - working independently and/or in small teams
Attention to detail, data accuracy and quality of output.
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