Sr. Machine Learning Infrastructure Engineer, Creator Studio

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $147,400–$272,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k

This role $210k

$132k most similar roles pay here $287k

This role pays less than 58% of similar roles. Most pay $180,342–$248,500 — the shaded band above. At the midpoint, this role pays about $210k versus about $214k for comparable roles.

Based on 239 similar postings.

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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.

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At a glance

TL;DR · Sr. Machine Learning Infrastructure Engineer, Creator Studio

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Join the Creator Studio team as a Senior Machine Learning Infrastructure Engineer to drive the development of cutting-edge creative editing tools. You will collaborate with top engineers and creatives, leading the creation of scalable ML data infrastructure that supports high-quality model development and continuous feature improvements for creative professionals. Your daily tasks include identifying and ingesting multimodal datasets, building reusable data pipeline components, maintaining core tooling frameworks, and analyzing user interaction data to enhance training data distributions. Proficiency in Python and SQL is essential, along with experience in distributed processing frameworks like Spark or Dask. Ideal candidates also have a background in cloud platforms, container orchestration, and the iOS ecosystem, particularly Swift programming. This role offers significant visibility and impact within Apple’s innovative product development process.

Skills

Python SQL Spark Dask Ray Presto Parquet Flink Druid Airflow PostgreSQL Kubernetes Docker AWS GCP CI/CD

What you'll do

Identify and ingest multimodal datasets for ML model development.
Build scalable infrastructure components for data pipelines, including labeling processes.
Develop core tooling and frameworks to support efficient model development and testing.
Collaborate with model teams to manage shared codebases and common libraries.
Analyze user interaction data to improve training data distributions and model metrics.

What we're looking for

BS/MS in Computer Science or related field with 3+ years of industry experience.
Proficiency in Python and SQL for developing scalable ML data infrastructure.
Strong understanding of software engineering best practices, including schema design.
Experience developing and optimizing large-scale ML workloads on distributed frameworks.
Ability to communicate effectively and collaborate with ML research scientists and engineers.

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