The cloudOS team is responsible for all facets of delivering OS and system services on Apple silicon servers, including driving hardware and software initiatives to enable new Apple silicon-based systems in data centers.\\nOur Apple Services 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.
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.
5+ years of experience with hardware and/or software development lifecycle processes\n5+years of experience in one or more compiled languages (e.g. C, C++, Objective-C/Swift)\nProficient in one or more scripting languages e.g. Python, Go, or JavaScript\nExperience with Machine Learning, its common practical applications, and commonly used frameworks\nProven understanding of Operating System concepts\nProven ability crafting, maintaining and implementing tests plans across all application layers\nApplying statistical concepts to validate and QA data and models\nQA and automation experience involving ML workflows is a huge plus\nPosses the capability to accept ambiguity and deliver extraordinary results on tight schedules\nB.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
5+years using one of the following scripting languages e.g. Python, Go, or JavaScript\n5+years of experience working with an building Operating Systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: ffd840ee0564c8d4737deccb3124d0ce
- Posted 28 days ago
Never miss an opportunity! Create an alert based on the job you applied for.