Job Description
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 curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As a machine learning engineer in Finance, you'll play an integral role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple's Finance organization. Description This role will be the technical lead for product cost, supporting our Operations Finance organization. You will work as part of a multi-discipline engineering pod with data and software engineers, product managers and program managers. Your ability to learn business processes and instill strong engineering practices into team machine learning processes will be critical. A key part of your role will be to operationalize AI solutions, bridging the gap between prototype and production to rapidly and reliably deliver value to the Finance organization. Responsibilities: Technical lead overseeing solution design and engineers Partner with teammates and share expertise across teams Explain technical concepts to non-technical audiences Collaborate effectively with cross-functional teams Operationalize AI solutions, bridging the gap between prototype and production Instill strong engineering practices into team machine learning processes Rapidly and reliably deliver value to the Finance organization Preferred Qualifications Previous experience working in a corporate finance, accounting, or supply chain organization Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process Minimum Qualifications Graduate degree (computer science, data science, math, quantitative finance, or sim
