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 Machine Learning Engineer (App Store), Apple Media Products Data Science - Culver City, 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: 200205095 / Latpro-3760811 
Date posted: Nov-05-2020
State, Zip: California, 90230


Machine Learning Engineer (App Store), Apple Media Products Data Science

Culver City , California , United States

Software and Services


Posted: Nov 4, 2020

Role Number: 200205095

At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, high-energy individual who is not afraid of challenges, we're looking for you. Apple is seeking an expert Machine Learning Engineer or Applied Scientist to join a team passionate about building ML models for user acquisition, advertisement, and media applications, covering the App Store. This role will involve working with Internet-scale data from the App Store advertisement ecosystem and building/implementing products to drive business and marketing strategy. The team's culture is centered around rapid iteration with open feedback and debate along the way. We encourage independent decision-making and taking calculated risks. AMP Data Science collaborates with partners across product, marketing, design, engineering, and business teams. Our mission is to drive innovation at Apple through deep quantitative research.

Key Qualifications

  • 3+ years of experience in a Machine Learning Engineer or Applied Scientist role, preferably for an internet technology company.
  • Familiarity with broad range of Machine Learning techniques and relevant statistical packages to engineer Machine Learning solutions end-to-end.
  • Strong proficiency with SQL-based languages, Python, Spark, and additional large-scale data / Hadoop-ecosystem tools. Working proficiency with Git.
  • Experience in contributing to production code bases. Ability to rapidly prototype algorithmic ideas in notebook environments and translate them into production code.
  • Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action
  • Excellent communication, social and presentation skills with meticulous attention to detail
  • Prior experience in the user acquisition, advertisement, and media space is preferred, but not required.


Collaborate with App Store stakeholders and partners to design Machine Learning models that help us better understand, acquire, and advertise to our App Store users. Engineer end-to-end Machine Learning products which provide App Store partners with a granular understanding of customer preferences and user value drivers, including scalable solutions for customer acquisition and targeting. Support engineering, business, and marketing teams at Apple in optimizing all customer touch points by detecting usage patterns with data-driven / machine-learned methods and translating them into impactful solutions. Dive deep into large-scale data sources to uncover opportunities for Machine Learning automation, predictive methods, and quantitative modeling across the App Store. Partner with other Apple organizations on data engineering, data governance, evangelizing Machine Learning, and democratizing data. Increase internal adoption of ML and AI products. Your creative solving skills will be utilized daily.

Education & Experience

Minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. Ideally, Masters or PhD in related field.


See job description


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