AIML-Sr. Data Engineer, Measurement

We are looking for an experienced software engineer to build online Experimentation platforms to empower Apple engineers in delivering great user experiences. We are addressing key challenges to accelerate the adoption of ML across all the OSes and Apple products/services operating at the scale of 2+ billion devices. Our work is complex, challenging and highly visible.

The mission for Measurement organization is to measure, understand and proactively improve all Apple features. As part of this organization, you'll be responsible for enhancing the experimentation platform that will be used by all teams across Apple. You will be responsible for designing and building data applications to enable on-device and server side experimentation workflows. For example, build data service to analyze telemetry from billions of devices in a timely fashion and deliver data-driven insights to inform product launches.

In this role, you will collaborate with cross-functional partners, customers across Apple to build platform roadmap for next 2-3 years. You have a background that fuses data engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products.

Minimum Qualifications:

• Experience with online experimentation systems
• Experience in building large scale data processing and distributed systems using technologies like Spark/Kafka
• Experience with managing and monitoring data collection and analytics pipelines at the application level
• Working knowledge of Trino, Iceberg, and SQL / NoSQL databases
• Experience with Object oriented programming languages like Java / Scala / Python
• Experience with Kubernetes or similar technologies
• Experience with Log processing and mining frameworks like Splunk, Prometheus, etc
• Experience with deploying and managing CI pipeline with Jenkins or similar tools
• M.S. in Computer Science or a related field
• 8-10 years of industry experience or (B.S. + 10-12 years of industry experience)

Preferred Qualifications:

• Experience with Machine Learning platforms is a plus

This role offers a competitive base pay range between $133,800 and $265,300, along with opportunities for stock awards, bonuses, and comprehensive benefits.