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Machine Learning Engineer

Apple
Svezia  Svezia
Ingegneria, Inglese
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Descrizione del lavoro:

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 help 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 ML 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 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.
MS in computer science or equivalent field Proven record in delivering end-user facing ML 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
Ph.D in computer science or equivalent field 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 big data processing, prior experience with Hadoop, Spark, Hive is highly desired. Knowledge and prior experience with some deep learning and GenAI frameworks and LLMs are desired. Prior experience in consumer facing product is desired. Prior team lead experience is desired

Provenienza: Web dell'azienda
Pubblicato il: 21 Mag 2026
Tipo di impiego: Lavoro
Settore: Elettronica di consumo
Lingue: Inglese
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