Apple Services Engineering team is looking for a Senior Software Engineer in Machine learning to drive innovations in software development and quality for various machine learning workflows, and to define, measure, and improve the quality of machine learning technologies at Apple.
Requirements
- 5+years using one of the following scripting languages e.g. Python, Go, or JavaScript
- 5+years of experience working with an building Operating Systems
- 5+ years of experience with hardware and/or software development lifecycle processes
- 5+years of 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
Responsibilities
- driving working on various aspects of machine learning including training, inference, and characterization for various ML workloads.
- 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.
- developing and implementing comprehensive automated test plans.
- working cross-functionally with many teams across Apple impacting all levels of the Apple’s machine learning stack.
- championing quality software development through each step of the development process and driving quality improvements throughout the organization.
- Applying statistical concepts to validate and QA data and models
- QA and automation experience involving ML workflows
Other
- 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.
- 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.
- You will be the voice of our customers
- Posses the capability to accept ambiguity and deliver extraordinary results on tight schedules
- B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
