We are searching for engineers with a real passion for using machine learning to build intelligent applications. In this highly accomplished, deeply technical and close-knit team of data scientists and machine learning engineers, you will craft tools that are used by millions of people. You will have a chance to design and implement new machine learning algorithms and techniques and collaborate with innovative product development teams in the world. Our team researches new machine learning algorithms, models and techniques that will power amazingly intelligent user experiences. We are looking for new ambitious members to join our research ML group. In this role, you will design new models and algorithms, and actively engage with the academic community by publishing your work and participating in academic efforts. You will also have the opportunity to contribute to every cool project around Apple, and use your data science, machine learning and artificial intelligence skills to transfer your ideas into solutions for some of the most challenging technical problems in the next generation of products that will delight millions of people.

As a member of the ML Research team, you will design and evaluate new algorithms, models and methods that will impact Apple and the broad ML community. You will also collaborate with teams across Apple, who are building the new, compelling intelligent applications in the world. You will also be a trusted advisor for best practice machine learning development. Your responsibilities include:

Researching, developing and implementing the most innovative machine learning, artificial intelligence, computer vision and NLP techniques
Publishing papers, software and creating presentations
Transferring machine learning solutions to data scientists and engineers on product teams

Providing technical guidance to product teams on the choice of machine learning approaches appropriate for a task

Providing architectural guidance on transitioning prototypes to high-performance production models
Providing feedback on tools and new features needed back to platform development teams

Education & Experience

PhD in Machine learning, Statistics, Computer Science, Physics, or related field or MS in related field with a strong academic track record. 3+ years of research experience in academia or industry.




Key Qualifications
Strong academic and publication record
Deep technical skills in machine learning, deep learning, computer vision, natural language processing, or artificial intelligence
A passion for creating innovative techniques and making these methods robust and scalable
Ability to explain and present deep technical ideas
Creative, collaborative & innovation focused

Educational level:

Ph. D.

Level of experience (years):

Mid Career (2+ years of experience)

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About Apple

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.