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Apple Sr Software Engineer Machine Learning Infrastructure Quality United States, Washington, Seattle 26534936
07.04.2025
This is a full time Software Developer position where you will be driving working on various aspects of machine learning including training, inference, and characterization for various ML workloads. You will also be responsible to define, measure, and improve the quality of machine learning technologies at Apple by developing infrastructure, automation and services which facilitate validation and qualification of these technologies. In addition, you will be responsible for developing and implementing comprehensive automated test plans. You will be working cross-functionally with many teams across Apple impacting all levels of the Apple’s machine learning stack. You will be the voice of our customers, championing quality software development through each step of the development process and driving quality improvements throughout the organization.
- Experience with hardware and/or software development lifecycle processes
- Hands-on experience in one or more compiled languages e.g. C, C++, Objective-C/Swift
- Proficient in one or more scripting languages e.g. Python, Go, or JavaScript
- Experience with Machine Learning, its common practical applications, and commonly used frameworks
- Proven understanding of Operating System concepts
- Proven ability crafting, maintaining and implementing tests plans across all application layers
- Applying statistical concepts to validate and QA data and models
- QA and automation experience involving ML workflows is a huge plus
- Posses the capability to accept ambiguity and deliver extraordinary results on tight schedules
- Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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