Apple's ML Compute Team is seeking a Senior Machine Learning Infrastructure Engineer to join their phenomenal team of engineers. This role focuses on building and maintaining compute infrastructure for ML workloads including training, inferencing, and fine-tuning at Apple scale. The position offers an opportunity to solve unique, large-scale, highly complex technical problems to make ML workloads more stable, reliable, efficient, and cost-effective.
As a Senior Engineer, you'll collaborate with teams across Apple, working on critical ML infrastructure that impacts hundreds of millions of users. You'll be responsible for designing and implementing solutions that scale through multiple orders of magnitude, while working with cutting-edge ML technologies and frameworks.
The role combines deep technical expertise in distributed systems and ML infrastructure with the opportunity to shape the future of machine learning at Apple. You'll work with various ML frameworks, cloud technologies, and accelerators while contributing to some of Apple's most visible current and future features.
This position offers competitive compensation including base pay, stock options, and comprehensive benefits. You'll be part of a team that values innovation, collaboration, and technical excellence, working on projects that directly impact Apple's ML capabilities across its product ecosystem.
The ideal candidate will bring strong technical skills in ML infrastructure, distributed systems, and cloud platforms, combined with excellent communication abilities and a passion for solving complex technical challenges. This is an opportunity to make a significant impact at one of the world's most innovative technology companies, working on ML infrastructure that powers next-generation products and services.