Machine Learning Engineer

Apple Maps and the thousands of applications it empowers are being used by millions\\nevery single day! As a fundamental tool for human activity, Maps technology is evolving\\nand new techniques are emerging.\\n\\nWe are looking for a Machine Learning Engineer to join and help play a big part in the\\nnext revolution of Maps; to enable users to find more things in innovative ways. On our\\nteam, you will have plenty of opportunities to build groundbreaking technologies using\\nML and GenAI 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\nand accuracy using machine learning and artificial intelligence techniques. Engineers\nand scientists on our team work on a wide spectrum of approaches to improve search\nexperiences on Apple Maps.

MS in computer science or equivalent field \nProven record in delivering end-user facing ML driven products\nStrong programming experience in one or more of the following: Java, C++, Python\nKnowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.\nExcellent interpersonal and communication skills - working independently and/or in small teams\nAttention to detail, data accuracy and quality of output

Ph.D in computer science or equivalent field \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.\nKnowledge and prior experience with some deep learning and GenAI frameworks and LLMs are desired.\nPrior experience in consumer facing product is desired.\nPrior team lead experience is desired.