Finance Digital Transformation - Senior Machine Learning Engineer

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 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 robust AIML-driven processes and extending scalable platforms to optimize financial operations in a dynamic environment. You will tackle unique challenges specific to Finance organizations - including SOX compliance, regulatory requirements, cost variance analysis, margin analysis, and scenario modeling - while driving automation and efficiency across end-to-end finance workflows. 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

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 $184,700 and $277,600, 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.