Apple is looking for engineers to build next generation systems and tools supporting the research and development of machine learning models, and their integration into the products Apple customers love.
Requirements
- 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
- 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
- engineering 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.
- directly integrating ML into products.
- develop scalable, maintainable, and cost-effective solutions.
- 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".
- support applied ML teams throughout their product development cycle.
- perform data acquisition and synthesis, training, evaluation, and serving.
Other
- You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
- MS in Computer Science or related experience.
