Sr. Machine Learning Engineer Finance

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 a machine learning engineer in Finance youll play an integral and global role in building the data foundations services and platforms used for delivering insights and automating decisions for Apples Finance organization.

This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance environment where you will deal with unique challenges specific to Finance organizations such as SOX and regulatory compliance. Your ability to instill and proliferate strong software engineering practices into team data science and machine learning processes will be critical.

Build and operationalize AI solutions in Apple FinancenPartner with teammates and share expertise across teamsnExplain technical concepts to non-technical audiencesnCollaborate effectively with cross-functional teamsnInstill strong engineering practices into team machine learning processesnRapidly and reliably deliver value to the Finance organization

Undergraduate degree (computer science data science finance economics accounting or related business discipline) with seven years demonstrated experiencenExperience building data models and scalable pipelines using SQL and big data technologies with expertise in data ops best practicesnExperience developing in Python while following DRY principles modularity and testing standards with version control code applying ML algorithms for regression classification and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD drift monitoring and cloud platforms (AWS GCP Azure)nAbility to explain technical details to non-technical audiencesnUnderstands and advocates version control test driven development and strong CI/CD process

Graduate degree (computer science data science math quantitative finance or similar discipline) with five years experiencenPrevious 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 processnExperience with front end (.js experience)