Machine Learning Engineer - Apple Ads

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!
We are seeking an experienced leader who can help us complete our near-term plans while helping to define and plan our longer-term vision. This role will involve working with Internet-scale data across numerous product and customer touch points, undertaking in-depth quantitative analysis, reporting, and model building to drive strategy. - Drive creation of analytics tools and data products to enable insights discovery at lightning speed and scale - Automate and scale existing analysis methods. Institute innovative approaches on modeling and analysis frameworks - Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer happiness - Understand advertiser engagement, build predictive modeling processes, and find stories based on signals of advertiser success or failure/churn
  • 6+ years of experience in analytics and/or data science teams
  • Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
  • Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
  • Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
  • Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
  • Must be able to guide and lead analysis and model development efforts across teams of data scientists
  • Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
  • Ability to create order from complex, poorly-structured problems
  • Manage strategic relationships with our partners (e.g., App Store, future businesses)
  • Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
  • Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
  • Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
  • 8+ years of experience in analytics and/or data science teams
  • Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience -
  • 3+ years in digital advertising and performance-based platforms
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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