ML Systems Engineering Manager

Our team is building next generation systems and tools supporting the research and development of machine learning models, and their integration into the products Apple customers love. We're a fast moving, highly skilled team designing and building a collection of tools and systems used by Apple's MLEs and data scientists to build, test and deploy their products. Our systems have to scale, stay highly available, and "just work". That's a tall order, and we're looking for a talented and passionate ML Systems Engineering Manager who love dealing with such challenges.

Description

Our team designs and builds ML systems and tools that support applied ML teams throughout their product development cycle. Using our systems, MLEs and data scientists perform data acquisition and synthesis, training, evaluation, and serving. In this role, you will be responsible for managing engineers who develop solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You will be successful and feel fulfilled if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.

Preferred Qualifications

Experience with developer tools or developer productivity systems.

Experience with open source or inner source

Minimum Qualifications

5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.

2-3 years management experience

Strong understanding in data centric systems, distributed systems, reliability, and cloud services.

Hands-on experience in designing and coding large scale systems.

Proven experience with applied machine learning, data engineering, or similar.

MS in Computer Science or related experience.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .