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# Machine Learning Infrastructure and Data Engineer

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Data Infrastructure, Python (Programming Language), Machine Learning, Software Engineering, Unstructured Data, Information Technology, Data Delivery, Data Pipelines
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b7d957613119e310

## About the Role

Do you have experience in Tooling?, Do you have a Bachelor's degree?, MS or PhD computer science or related discipline, or 5+ years of related industry experience.

Experience processing large, complex, unstructured data.

Experience developing core infrastructure and frameworks for automating data pipelines.

Excellent communication and experience working with multi-functional teams.

Passion for delivering high quality software to end-users.

Experience with geometry or computer vision algorithms.

Self-motivated, with an ability to drive projects from concept to production, balancing requirements with technical quality and development timelines.

Minimum Qualifications

BS in computer science or related discipline and 3+ years of relevant industry experience.

Experience developing or extending frameworks used for automating pipelines.

Strong software engineering skills with extensive experience in Python.

Strong foundational knowledge in Computer Science, with a deep understanding of algorithms and data structures.

## Description

Join us as an ML Data and Infrastructure Engineer and become the architect behind the data infrastructure that power tomorrow's breakthrough AI/ML innovations. You'll be the critical link between ambitious algorithmic vision and real-world implementation-building the robust, scalable infrastructure that turns cutting-edge research into production-ready systems. We don't just use tools; we build them. You'll have complete ownership of the infrastructure that fuels our ML algorithms from conception to deployment, designing and orchestrating distributed compute systems that process massive datasets at scales few engineers ever encounter. Working shoulder-to-shoulder with AI/ML researchers and engineers in a small, agile team, you'll drive the creation of scalable infrastructure for ground truth data delivery, orchestrate massive distributed compute tasks across petabyte-scale datasets, develop novel validation frameworks, and help define strategic data collection approaches that push the
boundaries of what's achievable. Your contributions won't just support algorithms-they'll directly shape product direction, unlock entirely new AI/ML capabilities, and define what's possible at Apple.


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