Staff Machine Learning Engineer – Ads Platform

At Apple we focus deeply on the customer experience. Apple Ads brings this same approach to advertising helping people find exactly what theyre looking for and helping advertisers grow their businesses. nnOur technology powers ads and sponsorships across Apple Services including the App Store Apple News MLS Season Pass and now F1 ! . 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 sizesfrom small app developers to news publishers to big global brands. Because when advertising is done right it benefits everyone. nn

Apple Ads is Hiring a hands-on Machine Learning this role you will build design and build Machine learning systems and data pipelines to safeguard the advertiser trust of our platform and enhance invalid traffic protections. You will define and execute an innovation roadmap; build and deploy models with robust CI/CD feature stores and streaming infrastructure (e.g. Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning calibration and drift detection to deliver measurable improvements in product quality user experience latency and cost.

Develop and manage end-to-end lifecycle of machine learning models including observability for large-scale high-throughput and low-latency production develop and optimize distributed algorithms and data processing frameworks(e.g. Spark).nImplement scalable feature pipelines to ingest clean transform and analyze massive Ads integrity and advertiser trust by safeguarding complex problems with multilayered data sets and optimize existing machine learning libraries and frameworksnStay up to date with developments in the machine learning industrynCollaborate with product and engineering teams on production systems and performance optimization bottleneck analysis and system tuning across compute and storage tools to support A/B testing statistical evaluation and experimentation data integrity security and compliance across all in cross-functional Agile teams to prototype and deliver impactful data-driven products.

8 years of experience building machine learning capabilities across many different product areas at scalenStrong proficiency in Java Python or Scala for algorithm and system with distributed systems and big data frameworks such as Spark Kafka Hadoop or understanding of data structures algorithms and system design with CI/CD workflows cloud environments and containerized of data validation cleansing and quality assurance of statistical methods A/B testing and online experimentation experience working with Anomaly detection is a or MS in Computer Science Software Engineering or related technical fields.

10 years of experience building machine learning capabilities across many different product areas at in Advertising to open-source algorithm frameworks or data processing tools.