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Apple Senior Machine Learning Manager - Apple Ads United States, California, Cupertino 865013954
09.07.2025
You will have experience hiring and leading large-scale, sophisticated data science teams that deliver impactful insights via pattern mining, anomaly detection, modeling, classification, and creation of wide ranging analytical tooling. Successful candidates will take pride in implementing and sustaining end-to-end analytical solutions that have direct and measurable impact. The role requires both a broad knowledge of existing data mining algorithms and creativity to invent and customize when necessary.
- 10+ years of experience leading data science, machine learning teams including managing managers.
- 2+ years of experience in digital advertising and performance-based platforms.
- Experience in advanced quantitative methods and model development with a strong focus in exploratory data science. Must include experience with regression, classification, clustering, time-series analysis and LLMs.
- Experience working with modern data engineering technologies and cloud-based data warehousing solutions. Familiarity with database modeling and data warehousing principles.
- Well-rounded individual with hands-on experience in writing code to query and transform both unstructured and structured data—acting as a mentor to your team while not afraid to dig in and get your hands dirty.
- Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools and libraries such as Pandas, R, Spark, and Tableau.
- Must be able to guide and lead analysis across teams of ML data scientists and data engineers. Seamlessly collaborate with a wide range of stakeholders including senior leadership, product managers, finance, engineering.
- Have a strategic mindset with an aptitude to condense complex concepts, analysis, and models into actionable data driven solutions and strategies that will propel Apple’s digital advertising businesses.
- Demonstrated business acumen; ability to understand and anticipate the decisions stakeholders must make supported by data. Ability to produce and communicate data insights that translate into meaningful business impact.
- Excellent communication, collaboration, stakeholder management, and planning skills; demonstrated success building buy-in for an innovative and bold vision.
- Ability to work effectively with engineering partners to meet the data needs of the business, translating business needs into analytical requirements.
- Deep knowledge and experience in digital, performance-based advertising platforms.
- Bachelors, or equivalent experience in a quantitative field, such as Engineering, Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
- 15 years of experience leading data science, machine learning teams including managing managers. 5+ years of experience in digital advertising and performance-based platforms.
- 5+ years of experience in digital advertising and performance-based platforms.
- Ph.D. or equivalent experience in a quantitative field, such as Engineering, Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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