Finance Machine Learning Engineer Tech Lead

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 theres 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 youll play an integral role in building the data foundations services and platforms used for delivering insights and automating decisions for Apples Finance organization.

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.

Technical lead overseeing solution design and engineersnPartner with teammates and share expertise across teamsnExplain technical concepts to non-technical audiencesnCollaborate effectively with cross-functional teamsnOperationalize AI solutions bridging the gap between prototype and productionnInstill strong engineering practices into team machine learning processesnRapidly and reliably deliver value to the Finance organization

At least 8 years experience in an engineering rolenAt least one year experience effectively leading engineers and collaborating cross-functionally translating technical concepts for diverse audiences and converting ideas into solutions with strong process and data understandingnExperience building data models and scalable pipelines using SQL and big data technologies with expertise in data ops best practicesnExperience developing in Python while following and advocating for DRY principles modularity testing standards version control and code reviews. Experience with front end (.js experience)nExperience applying ML algorithms for regression classification and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD drift monitoring and familiarity working with cloud platforms (AWS GCP Azure)nGraduate degree (computer science data science math quantitative finance or similar discipline)nUndergraduate degree (computer science data science finance economics accounting or related business discipline)

Previous experience working in a corporate finance accounting or supply chain organizationnUnderstanding of or ability to learn financial statements Pu0026L impact high level accounting principles SOX and tax compliance and month-end close process