Finance Digital Transformation - Senior Machine Learning Engineer
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
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
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Front-end experience for extending internal tooling and platform UIs a plus
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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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