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 Apple Media Products - Senior Applied Researcher, Machine Learning - Cupertino, California, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200214739 / Latpro-3768805 
Date posted: Jan-12-2021
State, Zip: California, 95014


Apple Media Products - Senior Applied Researcher, Machine Learning

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI


Posted: Jan 11, 2021

Weekly Hours: 40

Role Number: 200214739

The Apple Media Products team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power Apple Music, Apple TV, Podcasts, Fitness+, Books and the App Store. And they do it on a massive scale, delivering a best-in-class experience to more than 150 countries worldwide. While Apple Media Products is rapidly emerging to be a big part of Apple's business, our teams remain small and nimble. Thanks to Apple's unique integration of hardware, software, and services, we partner cross-functionally to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. We are now looking for an extraordinary Applied Researcher to join our team and develop state of the art ML solutions.

Key Qualifications

  • Proven understanding of foundational concepts in statistics, optimization, time series modeling, classical machine learning and deep learning. Deep expertise in one or more of these areas.
  • Strong coding skills to quickly build prototypes in Python, Scala, R, C/C++ or Java.
  • Ability to work cross-functionally with engineering teams to deploy and scale ML solutions.
  • Ability to understand the big picture, identify gaps, propose solutions and test them.
  • Ability to distill complex scientific concepts to a wide audience.
  • Passionate about mentoring.


You will research, design and develop ML based solutions for a variety of use cases. These use cases range from user facing features for Apple's media products to engineering optimizations that makes our products work like magic. We are in very early days of what we have set out to do, so you have the opportunity to influence our journey and deliver significant, step function changes along the way. As a research group, we participate in conferences and brain-storm ideas collaboratively - we are looking forward to a new hardworking and enthusiastic member to join our group!

Education & Experience

MS/PhD in Machine Learning, Statistics, Economics, Operations, Research, Engineering, Applied Math, Computer Science or any other quantitative discipline. Or, equivalent proven industry experience. Apple is an Equal 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.


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