Senior ML Data Engineer

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
148 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $255k
$157k most similar roles pay here $343k

This role pays more than 88% of similar roles. Most pay $180,000–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $217k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior ML Data Engineer

Senior ML Data Engineer, MLO joins the ML Data Team of the Intelligent System Experience group to build high-quality datasets at scale for various products. The role involves operating and maintaining pipelines to process billion-scale multimodal data while creating automated workflows, self-service tools, and synthetic data orchestrations. You will focus on acquiring, synthesizing, annotating, and ensuring the quality of machine learning data to support generative models and agentic capabilities. Key responsibilities include improving internal infrastructure and influencing partner roadmaps. The position requires expertise in Python or Go, along with experience using technologies such as Iceberg, BigQuery, Airflow, and Spark. Candidates must have a background in delivering large-scale multimodal datasets for foundation models within the vision domain to solve complex data operations challenges for critical features like on-device generative models and personalized content.

What you'll do

  • Operate and maintain data pipelines to process billion-scale multimodal data.
  • Automate workflows and build self-service tools for visualization, compliance, and ML enrichment.
  • Integrate generative model and agentic capabilities into existing data pipelines.
  • Productionize synthetic data workflows including orchestration and lineage tracking.
  • Identify improvements for internal infrastructure and influence the roadmaps of partner teams.
  • Deliver large-scale multimodal datasets specifically for foundation models.
  • Mentor engineers and improve software engineering excellence within the ML data operations team.

What we're looking for

  • Bachelor's degree in Computer Science or a related field.
  • 7+ years of industry experience as a data engineer serving various ML applications.
  • Experience designing, automating, and scaling large data pipelines using technologies like Iceberg, BigQuery, Airflow, or Spark.
  • Expertise in Python, Go, or another modern programming language to produce high-quality code.
  • Demonstrated experience delivering large-scale multimodal datasets for foundation models.
  • Proven ability to design and lead a technical roadmap while collaborating with cross-functional teams.
  • Track record of mentoring engineers and improving software engineering excellence within ML data operations.
  • Ability to work autonomously in fast-paced environments and handle ambiguity.

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