The goal of Maps Search team is to take Apples 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 this role some of the projects you will contribute to include but are not limited to: - Develop and optimize novel ML algorithms to handle key issues in local search: ranking intent modeling 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! This position involves a wide variety of skills and innovation it is a unique opportunity that sits at the intersection of science and engineering. Ultimately your work would have a huge impact on millions of users across the globe.
MS in Computer Science or equivalent field with 7 years of industry experience
Proven record in delivering end-user facing ML driven products
Strong programming experience in one or more of the following: Java Python and/or C
Knowledge and experience with at least one of the following: 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.
Ph.D in Computer Science or equivalent field with 7 years of industry experience.
Expertise and experience in various facets of machine learning and natural language processing such as classification feature engineering information extraction clustering semi-supervised learning topic modeling and ranking
Practical understanding of the mathematics behind modern machine learning linear algebra and statistics.
Good knowledge of applying big data processing such as with Hadoop Spark Hive to create insights from production data.
Knowledge and prior experience with some deep learning and GenAI frameworks are desired.
Prior experience in consumer facing product is desired.
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