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Machine Learning Data Engineer
Apple, Inc. | |
United States, Texas, Austin | |
July 26, 2022 | |
Summary
Posted: Jun 29, 2022 Weekly Hours: 40 Role Number:
200322127 Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The Infrastructure Services Software Development team is looking for a passionate, self-motivated and hard-working engineer to be part of a diverse, fast paced and high-energy team! We are seeking an enthusiastic and dedicated Data Engineer who is passionate about Machine Learning initiatives, to build high quality, scalable and resilient distributed systems that power the analytics platform and data pipelines. Be responsible for developing some of the key components of the platform, collaborate with cross-functional teams. Contribute to key and innovative technology which supports major Apple applications, with all the scalability and high-availability requirements that entails. Key Qualifications
Description In this role, handle implementing data pipelines focused on Machine Learning applications. You will develop data sets for POCs to demonstrate new insights. Several of these may lead to fully operational ML models and deploy and own the life-cycle on in-house and third party cloud environments. You will partner with various cross functional teams to define, develop and implement data technology solutions, with an emphasis on providing superior foundational data for ML applications. A strong understanding of distributed data systems and experience in using open source frameworks to build applications is required. A solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable, as is an ability to deploy solutions based on these platforms. Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads, and working with partner teams to ensure scalability, business continuity and appropriate turnaround time is a key part of the operationalization effort. As a member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for those. In the process, you will identify the requirements of new features, and propose design and drive the solution. A strong understanding of data governance and data privacy is expected for this role in keeping with Apple's strong commitment to the same. Education & Experience B.S or M.S in Computer Science, Mathematics, Statistics, Operational Research, Data Science / equivalent experience. Additional Requirements
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