Senior ML Data Engineer: Scale Multimodal Datasets

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 324,800; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a senior software and data engineer to build and operate large-scale ML data pipelines. You will acquire, annotate, and ensure quality of multimodal datasets powering features across iPhone, iPad, Mac, and more.

The role emphasizes data operations, automation, and collaboration with R&D teams; experience with Iceberg, BigQuery, Airflow, Spark is valuable. Competitive base pay and comprehensive benefits are included.

Qualifications

• 7+ years of industry experience as a data engineer serving ML applications, vision domain preferred.
• Bachelor's degree in Computer Science or related field required.

Responsibilities

• Operate and maintain data pipelines to process up to billion-scale multimodal data.
• Automate workflows and build self-service tools for visualization, compliance and ML enrichment.
• Productionize synthetic data workflows including orchestration and lineage.
• Influence roadmaps and partner with cross-functional teams to improve core infrastructure.

Skills

Python

Go

Data pipelines

ML data ops

Education

Bachelor's degree in Computer Science or related field

Tools

Iceberg

BigQuery

Airflow

Spark

Job description

Apple Inc. in Cupertino, CA is seeking a senior software and data engineer to build and operate large-scale ML data pipelines. You will acquire, annotate, and ensure quality of multimodal datasets powering features across iPhone, iPad, Mac, and more.

The role emphasizes data operations, automation, and collaboration with R&D teams; experience with Iceberg, BigQuery, Airflow, Spark is valuable. Competitive base pay and comprehensive benefits are included.