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Form of workSummary
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 does world class research and development across a wide range of domains including understanding and improving 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. The vast diversity of humans that interact with our technology expect and deserve features that work for them, not just for a select few - fairness is how we work to ensure that. A Software Engineer in this position will work with researchers across the Machine Learning Research group to build scalable, distributed training and research pipelines. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems. They will learn industry standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across the our team and all of Apple. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and 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 distributed ML training and research into large scale ML training.
Key Qualifications
Expert in C++ and Python programming
Experience with CUDA programming, and/or High Performance Computing
Experience with distributed computing
Experience maintaining an open-source project
Excellent communication skills
Experience and passion to circumvent unexpected roadblocks
Past research experience is a plus
Description
Work with researchers on the team to build high performance and scalable software addressing novel ML research algorithms - Apply solid Software Engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques - Is this you? If so we'd love to hear from you.
Education & Experience
B.S. or M.S. in Computer Science (or related fields) or related fields or equivalent experience.
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 does world class research and development across a wide range of domains including understanding and improving 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. The vast diversity of humans that interact with our technology expect and deserve features that work for them, not just for a select few - fairness is how we work to ensure that. A Software Engineer in this position will work with researchers across the Machine Learning Research group to build scalable, distributed training and research pipelines. Candidates will need strong communication skills to work with a diverse set of partners and customers to determine the right solutions for the problems. They will learn industry standard and custom tools/infrastructure to build these solutions. This work will directly benefit the researchers across the our team and all of Apple. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and 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 distributed ML training and research into large scale ML training.
Key Qualifications
Expert in C++ and Python programming
Experience with CUDA programming, and/or High Performance Computing
Experience with distributed computing
Experience maintaining an open-source project
Excellent communication skills
Experience and passion to circumvent unexpected roadblocks
Past research experience is a plus
Description
Work with researchers on the team to build high performance and scalable software addressing novel ML research algorithms - Apply solid Software Engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques - Is this you? If so we'd love to hear from you.
Education & Experience
B.S. or M.S. in Computer Science (or related fields) or related fields or equivalent experience.
