Summary
We are looking for an experienced software engineer to build Machine Learning & 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 1+ billion devices. Our work is complex, challenging and highly visible. Collaborate with ML and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting applications & services. Does this interest your creative and development chops? If so, come join our team!

Key Qualifications
Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
Hands-on experience with managing and monitoring data collection and analytics pipelines at the application level
Experience with SQL / NoSQL databases
Experience with Object oriented programming languages like Java / Scala / Python
Experience with Kubernetes or similar technologies
Working knowledge of Trino
Experience with Log processing and mining frameworks like Splunk, Prometheus, etc
Experience with deploying and managing CI pipeline with Jenkins or similar tools
Experience with Machine Learning platforms is a plus

Description
You will be responsible for designing and building data applications to enable on-device and device/server side combined ML 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.

Education & Experience
BS in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.

Additional Requirements

• Experience with Machine Learning platforms is a plus
• Experience with A/B Testing is a plus

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