Senior ML Engineer, Distributed Data Infrastructure

Apple, Inc.

California

On-site

USD 216,000 - 325,000

Full time

8 days ago

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Job summary

Apple in Santa Clara, California is seeking a seasoned distributed systems engineer to help build the storage and compute foundation behind trillions of records and petabytes of data across Siri, Spotlight, and more.

You will design a petabyte-scale web signal store, a MapReduce-style processing framework on Kubernetes, and own production health with on-call duties. This role offers the opportunity to impact multiple Apple products and services at scale.

Qualifications

Strong CS background in algorithms and distributed systems.
5+ years designing, building, and operating large-scale distributed systems.
Hands-on experience with petabyte-scale batch data processing (MapReduce, Spark, or similar).
Proficiency in cloud-native architectures and compute orchestration on AWS (S3, EC2, EKS) and Kubernetes.
Excellent interpersonal skills, with the ability to work independently and drive cross-team efforts.

Responsibilities

Design and build our web signal store, a petabyte-scale Parquet/Iceberg lakehouse holding trillions of web documents and signals.
Design and build our in-house MapReduce-style processing framework, which runs thousands of workers on Kubernetes.
Improve performance, reliability, and cost at trillion-row scale, from read/write throughput and compaction to fault-tolerant batch jobs on shared clusters.
Own production health, including monitoring, on-call, and root-cause fixes, and raise the engineering bar through design and code reviews.