We’re looking for an exceptional engineering leader who is passionate about Apple products and values; who loves working with data ops at scale, and who is committed to the hard work necessary to continuously improve our ML data pipelines.
In this position, you will work with SIML Data functions and with ML teams to assess data engineering needs tied to shipping ML features. You will partner with and influence the roadmap of teams that build infrastructure blocks that we rely upon (eg storage & labeling platforms), in order to contribute to a best-in-class ML Data Engine. Our team of data engineers will use these systems to support end-to-end data flows tied to collection/annotation/QA operations, deliver high quality data quickly to ML teams, ensure traceability, versioning and lineage of data objects, and enforce compliance to contractual and regulatory obligations.
As a tech lead specialized in data engineering, you are also expected to code and contribute to the stack. You will establish and execute the strategy for our organization’s Machine Learning Data Engine with an initial focus on agile ML Data OPs. This includes identification of infrastructure components and data stack to be used, design and implementation of pipelines between data systems and teams, automation workflows, data visualization and tools, data enrichment and monitoring tools.