Sr. Machine Learning Engineer - Finance

Sr. Machine Learning Engineer -

Finance Cupertino, California, United States Corporate Functions Summary Posted:

Jun 17, 2026

Weekly Hours:

40

Role Number:

200647728-0836 Imagine what you could do here. At Apple, new ideas have a way of becoming greatproducts, services, and customer experiences very quickly. Bring passion and curiosityto your job and there's no telling what you could accomplish. Do you love thinkinganalytically? Just as our customers find value in Apple products, the Finance groupfinds value for both Apple and its shareholders.

As a machine learning engineer in Finance, you'll play an integral and global role inbuilding the data foundations, services, and platforms used for delivering insights andautomating decisions for Apple's Finance organization. Description This role will require you to be collaborative by learning intra-team and businessprocess in order to build infrastructure and services to enable an effective MachineLearning practice. You will help lead the charge by developing a strong ML Ops processin a dynamic Finance environment where you will deal with unique challenges specificto Finance organizations, such as SOX and regulatory compliance. Your ability to instilland proliferate strong software engineering practices into team data science andmachine learning processes will be critical. Responsibilities Build and operationalize AI solutions in Apple Finance Partner with teammates and share expertise across teams Explain technical concepts to non-technical audiences Collaborate effectively with cross-functional teams Instill strong engineering practices into team machine learning processes Rapidly and reliably deliver value to the Finance organization Minimum Qualifications Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline) with seven years demonstrated experience Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review. Experience 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) Ability to explain technical details to non-technical audiences Understands and advocates version control, test driven development and strong CI/CD process Preferred Qualifications Graduate degree (computer science, data science, math, quantitative finance, or similar discipline) with five years experience Previous experience working in a corporate finance, accounting, or supply chain organization Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process Experience with front end (.js experience) 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.

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 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.