Senior ML Data Engineer, MLO

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $250k

$137k most similar roles pay here $338k

This role pays more than 86% of similar roles. Most pay $162,000–$231,918 — the shaded band above. At the midpoint, this role pays about $250k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Senior ML Data Engineer, MLO

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As a Senior ML Data Engineer at Apple’s Intelligent System Experience group, you will join a dynamic team responsible for building high-quality datasets used in training machine learning and AI features across various Apple products. Your daily responsibilities include operating and maintaining data pipelines to process up to billion-scale multimodal data, automating workflows, and implementing tools for visualization and compliance. You will also work on integrating frontier generative models into your pipelines and productionizing synthetic data workflows. The role requires expertise in Python or Go, familiarity with technologies like Iceberg, BigQuery, Airflow, and Spark, and the ability to design and lead technical roadmaps while collaborating effectively across diverse teams. This position offers a unique opportunity to impact critical features used by millions of Apple users worldwide.

Skills

Python Go Airflow Spark Iceberg BigQuery CI/CD Kubernetes Docker Terraform AWS Azure GCP PostgreSQL MongoDB Git Jenkins Prometheus Grafana

What you'll do

Operate and maintain large-scale multimodal data pipelines.
Automate workflows and build self-service tools for data visualization and compliance.
Implement synthetic data production workflows, including orchestration and lineage tracking.
Integrate frontier generative models to optimize data operations in ML pipelines.
Identify and influence improvements in internal infrastructure offerings used by partner teams.

What we're looking for

7+ years experience as a data engineer for ML applications (vision domain preferred)
Design, automate, and scale large petabyte-scale data pipelines using advanced technologies like Iceberg, BigQuery, Airflow, Spark
Expertise in Python or Go with high-quality code production and participation in code reviews
Strong technical leadership skills, including roadmap design and cross-functional team collaboration
Experience delivering large-scale multimodal datasets for foundation models
Proven ability to mentor engineers and elevate software engineering excellence in a fast-paced environment

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