JobsFinance Digital Transformation - Senior Machine Learning Engineer
Finance Digital Transformation - Senior Machine Learning Engineer
AppleFinance Digital Transformation - Senior Machine Learning Engineer
AppleLocation
Austin, TX, Cupertino, CA
Type
Full-time
Posted
5/15/2026
Compensation
Not listed
Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025Job description
As a senior machine learning engineer in Finance at Apple, you will play a crucial role in building the platform and data foundations necessary for the Finance organization. Your work will involve developing strong AIML processes and extending platforms while addressing unique challenges related to regulatory compliance. You will also be responsible for instilling strong software engineering practices within the team. This position offers the opportunity to significantly impact both Apple and its shareholders through innovative machine learning solutions.
Requirements
- Bachelor's degree in Computer Science, data science, engineering, or a similar field.
- 7+ years of experience in machine learning engineering.
- Demonstrated experience improving and extending existing AIML platforms and services.
- Hands-on experience with ML platforms including feature stores, registries, experiment tracking, and model serving.
- Strong debugging and operational instincts.
- Experience with CI/CD and MLOps, familiar with GitOps.
- Production experience with Kubernetes and cloud platforms.
- Working knowledge of machine learning algorithms and experience shipping generative AI solutions.
- Familiarity with LLMOps, including evaluation pipelines and production guardrails.
- Background in corporate finance, accounting, or supply chain.
Responsibilities
- Build and enhance the infrastructure and services for the Finance organization.
- Develop and implement strong AIML processes.
- Address unique challenges related to SOX and regulatory compliance.
- Instill strong software engineering practices into team data science and machine learning processes.
- Modernize legacy ML infrastructure without disrupting existing users.
- Extend internal tooling and platform UIs as needed.
Benefits
- Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.
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