Sr. Machine Learning Infrastructure Engineer, Creator Studio

Apple Inc

Quick summary

Work type: On-site
Location: Culver City, CA
Salary: $139,500–$258,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k

This role $199k

$125k most similar roles pay here $277k

This role pays less than 64% of similar roles. Most pay $180,342–$248,500 — the shaded band above. At the midpoint, this role pays about $199k versus about $214k 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 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 shape innovative creative editing tools by developing scalable ML data infrastructure. You will lead the creation of robust data pipelines, including ingestion of multimodal datasets and building reusable components for efficient model development. Your day-to-day involves collaborating with model developers to maintain shared codebases, optimize large-scale ML workloads, and ensure training-inference parity through comprehensive tooling and frameworks. Essential skills include proficiency in Python and SQL, experience with distributed processing frameworks like Spark or Dask, and a strong grasp of software engineering best practices. Ideal candidates also have knowledge of cloud platforms, container orchestration technologies, and the iOS ecosystem, particularly Swift programming. This role offers significant visibility and impact within Apple’s creative technology landscape.

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 model development based on application features.
Build scalable infrastructure components for data pipelines, including human annotation or LLM labeling processes.
Develop core tooling and frameworks to support model development with scalable storage systems.
Manage a shared codebase and build common data processing libraries for ML workloads.
Analyze user interaction data to identify gaps in training datasets and define success 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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