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Apple Machine Learning Engineer United States, California, Cupertino 961230017
03.08.2025
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 ML 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.
- MS in computer science or equivalent field with 3+ years of industry experience
- Experience 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 with 1+ years of industry experience.
- Good knowledge 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 are
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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