Apple - Cupertino, CA
posted about 1 month ago
As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team conducts extensive research and development across a wide range of domains, including understanding and improving machine learning (ML), addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. An engineer in this position will work with researchers across the Machine Learning Research group to build tools and infrastructure to support and accelerate large-scale research pipelines across the group. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems at hand. They will learn industry-standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across our team and all of Apple. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and machine learning software development to join our team. In this position, you will help build and deploy software to solve a variety of high-performance computing needs, including large-scale distributed ML training and research. You will work with researchers on the team and partner teams across the company to build custom high-performance and scalable ML research pipeline solutions. You will apply solid software engineering skills and best practices to make reliable software that solves problems. You will be part of a small team dedicated to improving ML through software engineering and will ensure that ML solutions across Apple work well for all of our many users.