Apple's Data Platform powers the machine learning, AI, and data services that enable intelligent experiences across Apple products. As a Software Engineer focused on MLOps, you'll be at the forefront of building the unified orchestration layer that powers large-scale data and ML workflows across the company.
You'll work with cutting-edge open source technologies such as Ray and Spark to design and implement scalable systems that enable Apple teams to train models, analyze data, and deploy AI at unprecedented scale. This role offers a unique opportunity to shape the future of ML infrastructure while maintaining strong governance practices.
As a key member of the Apple Data Platform team, you'll collaborate with cross-functional partners and internal product teams to create reliable, scalable, and user-friendly infrastructure that accelerates model development and deployment. Your work will directly impact the experiences of millions of users across Apple's product ecosystem.
The role combines deep technical expertise in MLOps and infrastructure with the opportunity to work on challenging problems at massive scale. You'll be responsible for designing and developing orchestration systems that enable real-time, offline, and batch workflows for AI, ML, and data workloads across Apple.
The position offers competitive compensation including base pay between $171,600 and $302,200, plus additional benefits such as:
Join Apple's innovative team and help build the next generation of ML infrastructure that powers intelligent experiences across Apple's product lineup. Your work will be essential in enabling teams across Apple to leverage AI and ML capabilities effectively and securely at scale.