Apple-posted 4 months ago
New York, NY
5,001-10,000 employees

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. Ads Experimentation team is seeking a Machine Learning Engineer and Statistician who will help drive innovation. This is a hands-on role for developing & supporting a state of the art ads experimentation platform. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analyses, measure performance and make data-driven decisions and develop scalable tools that facilitate quick and accurate decision making.

  • Design and build a new generation of experimentation platform for the Ads Platform organization.
  • Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation.
  • Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects.
  • Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering.
  • Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
  • Lead the design, development, and maintenance of scalable and reliable data pipelines.
  • Implement robust data quality checks, monitoring systems, and data lineage tracking.
  • Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
  • 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.
  • Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials.
  • Familiarity with causal machine learning tools and technologies.
  • Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
  • Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
  • Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
  • Advanced Degree in Computer Science, Statistics, Applied Math or related field.
  • Skilled at operating in a cross-functional organization.
  • Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
  • Curious business attitude with a proven ability to seek projects with a sense of ownership.
  • Excellent communication, social and presentation skills.
  • Desire to work in a fast-paced and challenging work environment.
  • Mentor junior engineers and scientists on the team.
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