Apple is building next-generation systems and tools to support the research and development of machine learning models and their integration into products. The team needs to design and build scalable, highly available systems for ML engineers and data scientists to build, test, and deploy their products.
Requirements
- 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.
- Experience with developer tools or developer productivity systems.
- Experience with open source or inner source
Responsibilities
- managing engineers who develop solutions to support model training
- building reliable and scalable systems to run data processing pipelines
- building data generation engines
- building model evaluation infrastructure
- building model inference systems
- designing and building a collection of tools and systems used by Apple’s MLEs and data scientists to build, test and deploy their products
- designing and building ML systems and tools that support applied ML teams throughout their product development cycle
Other
- 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
- 2-3 years management experience
- MS in Computer Science or related experience.
- 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.
