New York City Metro Area, New York, United States Software and Services
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.
Description
Ads Experimentation team is seeking a Machine Learning Engineer and Statistician to develop and support a state‑of‑the‑art ads experimentation platform. The role requires partnering with cross‑functional teams to coordinate complex interdependencies inherent in application development, creating intuitive user experiences, and performing rigorous analyses to measure performance and drive data‑driven decisions.
Minimum Qualifications
- 8+ years of experience in software and data science or statistics with an in‑depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Conduct rigorous, end‑to‑end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized controlled trials. Marketplace experimentation experience is a bonus.
- Familiarity with causal machine learning tools and technologies. Skilled in observational causal techniques like regression, propensity score matching, diff‑in‑diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate incremental and long‑term impact of interventions. Experience measuring advertiser value from campaigns or algorithmic changes is a plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high‑impact questions.
- Operate effectively in a cross‑functional organization.
- Understand ambiguous and complex problems, design analytical approaches, and turn analysis into clear and concise takeaways that drive action.
- Demonstrate a curious business attitude and ownership of projects.
- Excellent communication, social and presentation skills.
- Desire to work in a fast‑paced and challenging environment.
- Mentor junior engineers and scientists on the team.
Preferred Qualifications
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- 8+ years of industry experience building scalable applications.
Compensation includes a base salary range of $184,700 to $324,800, potential bonuses, stock awards, and comprehensive benefits.
Apple is an equal‑opportunity employer committed to inclusion and diversity. We 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.
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