Jobs Finance Digital Transformation - Software Engineer
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 Finance Digital Transformation - Software Engineer

Apple

Location

Austin, TX, Cupertino, CA

Type

Full-time

Posted

7/7/2026

Compensation

Not listed

Undergraduate with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

As a senior machine learning engineer in Finance at Apple, you will play a crucial role in building the platform and data foundations that transform the Finance organization. Your work will involve developing strong AI/ML processes and extending platforms to address unique challenges in the finance sector, including regulatory compliance. You will collaborate with teams to instill robust software engineering practices into data science and machine learning processes. This position requires a blend of technical expertise and strong communication skills to convey complex concepts effectively.

Requirements

  • 7+ years of experience shipping production web applications with end-to-end technical ownership.
  • Proficient in Python with backend engineering experience using FastAPI or Django.
  • Experience developing user interfaces with React or similar modern JavaScript/TypeScript frameworks.
  • Deep expertise with relational databases such as PostgreSQL and MySQL, and Enterprise Data Warehouses like Snowflake.
  • Strong knowledge of the modern software development lifecycle, CI/CD pipelines, and automated testing.
  • Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure in production environments.
  • Familiarity with agentic AI frameworks like LangChain or LangGraph.
  • Background in ML algorithms and their practical application in enterprise settings.
  • Understanding of corporate finance, accounting, or supply chain, including SOX and P&L processes.

Responsibilities

  • Build the platform and data foundations for Finance's organization.
  • Develop AI/ML processes and extend platforms in a dynamic environment.
  • Instill strong software engineering practices into team data science and machine learning processes.
  • Communicate complex concepts clearly to both technical and non-technical audiences.
  • Address unique challenges specific to Finance organizations, such as SOX and regulatory compliance.

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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