Sr. Software Engineer, Machine Learning Infrastructure and Quality
Seattle, Washington, United States
Software and Services
Apple’s Cloud engineering team is hiring for an exciting new role as a Senior Software Engineer in Machine learning. We are seeking a highly motivated and detail oriented software engineer to drive innovations in software development and quality for various machine learning workflows. The right candidate for this position is passionate about delivering the best possible experience for our users and is continuously looking for new ways to measure and improve the quality of our software stack and infrastructure. Additionally, having the ability to switch between designing creative product usage scenarios and immersive analysis of detailed feature design will be a critical skill to possess.
Description
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.
Minimum Qualifications
- 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
Key Qualifications
Preferred Qualifications
- Bachelors or Masters in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.