What are the responsibilities and job description for the Senior Search Machine Learning Engineer position at Apple, Inc.?
Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of opportunities to build groundbreaking technologies using Machine Learning and Generative AI at scale to improve the search quality for Apple Maps.
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. In this role, some of the projects you will contribute to include but are not limited to: * 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! 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. \n
Ph.D in computer science or equivalent field with 7 years of industry experience.\nExpertise 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\nPractical understanding of the mathematics behind modern machine learning, linear algebra and statistics.\nGood knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.\nProven expertise in applying Generative AI & Large Language Models (e.g., prompt engineering, model fine-tuning) to search or NLP tasks.\nPrior experience in consumer facing product is desired.\nPrior team lead experience is desired.
Prior experience in consumer facing product is desired.\nPrior team lead experience is desired.
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. In this role, some of the projects you will contribute to include but are not limited to: * 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! 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. \n
Ph.D in computer science or equivalent field with 7 years of industry experience.\nExpertise 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\nPractical understanding of the mathematics behind modern machine learning, linear algebra and statistics.\nGood knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.\nProven expertise in applying Generative AI & Large Language Models (e.g., prompt engineering, model fine-tuning) to search or NLP tasks.\nPrior experience in consumer facing product is desired.\nPrior team lead experience is desired.
Prior experience in consumer facing product is desired.\nPrior team lead experience is desired.