The ASE Search team powers search for App Store Apple Music Apple TV Podcasts Books iTunes and more on iOS macOS tvOS watchOS web browsers 3rd party devices and Windows. Were a diverse collective of problem solvers and doers continually reimagining whats possible to help us all find what we love in new ways. Our engineers have created some tough acts to follow and they continue to lead us to innovative breakthroughs. Because theyre motivated not by what would be easy but by what would be amazing. We are looking for extraordinary machine learning engineers and researchers to help build next-generation search features for Apples ground breaking devices and platforms. We are a key part of the Apple ecosystem.
- Strong industry experience with one or more of the following: search classification regression recommendation systems ranking systems fraud detection online advertising or related
- MS or Ph.D. in Computer Science or related subject area
- Knowledge of ML models using Transformers Large Language Models Reinforcement Learning TensorFlow and PyTorch
- Deep understanding of search and information retrieval fundamentals including indexing query understanding
- 2 years of relevant industry experience
- Experience in training and evaluating machine learning models using Python/PyTorch/TensorFlow
- Experience building big data pipelines with Scala and Spark
- Experience in distributed computing micro-services architecture search and related technologies.
- Experience with GoLang is a plus
- Familiarity with A/B experimentation and data/data-driven product development
- Experience leading technical aspects for complex multi-functional projects
- Passion. Our customers love what we do at Apple and we want the same from our engineers
The ASE Search team powers search for App Store Apple Music Apple TV Podcasts Books iTunes and more on iOS macOS tvOS watchOS web browsers 3rd party devices and Windows. Were a diverse collective of problem solvers and doers continually reimagining whats possible to help us all find what we love in ...
The ASE Search team powers search for App Store Apple Music Apple TV Podcasts Books iTunes and more on iOS macOS tvOS watchOS web browsers 3rd party devices and Windows. Were a diverse collective of problem solvers and doers continually reimagining whats possible to help us all find what we love in new ways. Our engineers have created some tough acts to follow and they continue to lead us to innovative breakthroughs. Because theyre motivated not by what would be easy but by what would be amazing. We are looking for extraordinary machine learning engineers and researchers to help build next-generation search features for Apples ground breaking devices and platforms. We are a key part of the Apple ecosystem.
- Strong industry experience with one or more of the following: search classification regression recommendation systems ranking systems fraud detection online advertising or related
- MS or Ph.D. in Computer Science or related subject area
- Knowledge of ML models using Transformers Large Language Models Reinforcement Learning TensorFlow and PyTorch
- Deep understanding of search and information retrieval fundamentals including indexing query understanding
- 2 years of relevant industry experience
- Experience in training and evaluating machine learning models using Python/PyTorch/TensorFlow
- Experience building big data pipelines with Scala and Spark
- Experience in distributed computing micro-services architecture search and related technologies.
- Experience with GoLang is a plus
- Familiarity with A/B experimentation and data/data-driven product development
- Experience leading technical aspects for complex multi-functional projects
- Passion. Our customers love what we do at Apple and we want the same from our engineers
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