ML Engineer - Full Stack

at  Apple

SUMMARY

Posted: Sep 20, 2024
Weekly Hours: 40
Role Number:200568752
Are you a passionate about building scalable, reliable, search platform at scale? Come join us and be part of the Apple Media Products incredible journey. Apple Media Search Platform team is looking for extraordinary search engineers to build the best music search experience across all Apple platforms. We are a key part of the Apple ecosystem, supporting millions of users and billions of transactions. We operate in hundreds of countries and dozens of languages. We strive to provide the best search experience for our customers. If you are passionate about providing the best search results when user ask to play music on iPhone, Apple TV, Apple Watch, HomePod, this is the right place to be at. We obsess over search experience on Apple ecosystem and other ecosystems where Apple Music is supported.

DESCRIPTION

This full stack engineer will help build the next-generation Apple Media Products (AMP) search engines, mainly focusing on developing search debugging systems, and scalable business analysis tools. In this role you will have the opportunity to learn the full stack of the AMP search technologies, from the top media API entry points, through the leaf search engine notes, all the way to the catalogs that source the data. You will collaborate with engineering & science teams to architect, prototype, design, and implement end to end debugging tools that will help team members simulate real world user searches on any Apple device, and expose all the middle layer micro-service inputs/outputs at every stage of search engine stack. These tools will significantly boost team productivity, being essential for nearly every investigation and validation. In this role you will also build highly scalable data analysis tools which will query on top of billions of user historical search results, across different countries, on different media types, to provide business insights from different perspectives. Overall, these tools will be used daily by hundreds of engineers and scientists across the entire Apple Media Products group, and will help Apple to provide better search experiences for over a billion users worldwide on all Apple devices.

• Proficient in Java, C++ or other object oriented programming language
• Experience debugging tool development
• Understanding of information retrieval concepts such as inverted index, recall, ranking and evaluation of search quality is a plus
• Working experience on informational retrieval system such as Solr is a plus

PREFERRED QUALIFICATIONS

• Knowledge of spell correction system, query suggestions is a plus

• Proficient in Java, C++ or other object oriented programming language
• Experience debugging tool development
• Understanding of information retrieval concepts such as inverted index, recall, ranking and evaluation of search quality is a plus
• Working experience on informational retrieval system such as Solr is a plu