Machine Learning Data Engineer

Apple Inc

Actively hiring Posted today Verified listing
Cupertino, CA Posted today $181,100–$318,400 / year
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99+ other roles within 25 mi Near Cupertino, CA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $250k
$104k most similar roles pay here $341k

This role pays more than 87% of similar roles. Most pay $126,800–$224,325 — the shaded band above. At the midpoint, this role pays about $250k versus about $176k for comparable roles.

Based on 239 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 324 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 230 roles with salary data.

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At a glance

TL;DR

Join our dynamic team as a senior Machine Learning Data Engineer where you will drive the quality of machine learning data for innovative consumer products. Your role involves transforming complex data challenges into scalable processes and policies while ensuring regulatory compliance. You will lead dataset validation, design robust evaluation frameworks, and integrate privacy requirements into workflows. Additionally, you will bridge technical and non-technical teams by creating compelling visualizations and advocating for data strategy. The ideal candidate has extensive experience in data engineering, quality control, and cross-functional leadership within global privacy frameworks like GDPR and CCPA. Proficiency in machine learning tools, prompt engineering, and fine-tuning large language models is preferred, along with strong communication skills to distill technical insights effectively.

Skills

Python SQL Kafka Hadoop Spark Docker CI/CD Git Jenkins Prometheus Grafana AWS Azure Google Cloud Platform PostgreSQL MongoDB Redis Scikit-learn TensorFlow PyTorch Airflow

What you'll do

  • Drive continuous quality management of ML datasets with rigorous validation processes.
  • Develop precise data processes and policies for complex consumer product domains.
  • Design robust data evaluation frameworks to track model performance metrics.
  • Ensure compliance with privacy, legal, and regulatory standards in data workflows.
  • Serve as a bridge between technical teams and non-technical stakeholders.

What we're looking for

  • BS in Computer Science, Data Engineering, or related field; or equivalent industry experience.
  • Experience designing data quality control processes and human-in-the-loop initiatives.
  • Expertise in managing cross-functional projects for ML development lifecycle.
  • Proven track record of leading complex ML data quality programs at scale.
  • Knowledge of global data privacy frameworks like GDPR and CCPA.
  • Strong communication skills to convey technical insights to non-technical audiences.

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