Finance Digital Transformation - Senior Machine Learning Engineer

Finance Digital Transformation -

Senior Machine Learning Engineer Austin, Texas, United States Corporate Functions Summary Posted:

May 14, 2026

Weekly Hours:

40

Role Number:

200647734-0157 magine 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 senior machine learning engineer in Finance, you'll play an integral and global role in building the platform, data foundations, and services used for transforming Finance's organization. Description You'll learn intra-team and business process to build infrastructure and services enabling an effective Machine Learning practice. You will help lead the charge by developing strong AIML processes and extending platforms in a dynamic 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. Responsibilities Extend and improve existing platform capabilities for generative AI, agentic workflows, and machine learning inference use cases Drive SLO definition, close observability gaps, and strengthen operational posture across ML stack Develop and deploy frameworks for agentic AI, including evaluation and knowledge management Harden CI/CD and MLOps practices with testing, drift monitoring, and deployment guardrails Ensure controls are robust, auditable, and scalable within Finance governance frameworks Collaborate with delivery engineering pods to identify pain points and prioritize improvements Minimum Qualifications Bachelors degree (CS, data science, engineering, or similar) with 7+ years experience Demonstrated experience improving and extending existing AIML platforms and services Hands-on ML platform experience: feature stores, registries, experiment tracking, and model serving Strong debugging and operational instincts Values engineering standards; modularity, testing, version control, and code review CI/CD and MLOps experience strengthening existing pipelines; familiar with GitOps Production Kubernetes and cloud platform experience Working knowledge of ML algorithms; experience shipping generative AI and agentic solutions Preferred Qualifications Experience inheriting and modernizing legacy ML infrastructure without disrupting existing users LLMOps familiarity — evaluation pipelines, RAG infrastructure, prompt versioning, and production guardrails Background in corporate finance, accounting, or supply chain; understanding of SOx, P&L, and close processes Front-end experience for extending internal tooling and platform UIs a plus Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.