This role is part of a growing team so we’re you will have the opportunity to work in a few areas including Data Science, ML and NLP. Collaborating with team members in Europe and around the world you can work on many areas including:
Perform data mining to support new features – Analyze large datasets to glean actionable insights – Design classifiers and ranking algorithms – Perform language processing and query analysis – Perform ad-hoc statistical analysis – Present results of analysis to team and leadership across Apple – Craft metrics to measure the success of the service
If this is you, we’d love to hear from you.
Education & Experience
MS or Ph.D. in Data Mining, Machine Learning, Statistics, Natural Language Processing (in European languages), Operations Research or related field
Industry experience in a Data Science, Machine Learning or Natural Language Processing
Ability to illuminate complex problems with data analysis
Proven product success derived from research and analysis results
Familiarity with Hadoop, Mapreduce and similar technologies
Experience with machine learning models and systems like Tensorflow
Programming language like Python or Go
Experience with Search/Information Retrieval is a plus
Good communication with internal and external teams
Fluency in at least one of French, German, Italian, Spanish
Fluency in English
Apple reinvented the mobile phone with its revolutionary iPhone and App Store, defined the future of mobile media and computing devices with iPad and has announced Apple Watch, its most personal device ever. Apple leads the digital music revolution with its iPods and iTunes online store, continues the rapid pace of innovation of mobile software with iOS and integrated services including Apple Pay and iCloud. Apple designs Macs, the best personal computers in the world with OS X, and free iOS and OS X apps like iWork and iMovie.
Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.