Sr. Machine Learning Engineer - Finance

Apple Inc.; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Equal opportunity employer

Commitment to inclusion and diversity

Accessibility in workplace

Job summary

Apple Inc. is looking for a Machine Learning Engineer to join their Finance team in Austin, Texas. In this role, you will build AI solutions and lead the development of ML Ops processes within the Finance organization. You will work collaboratively with cross-functional teams while instilling strong software engineering practices.

The ideal candidate should have a strong background in machine learning, data modeling, and software engineering. A collaborative attitude and excellent communication skills are essential for explaining technical details effectively.

This position offers unique challenges specific to corporate finance.

Qualifications

• Seven years experience in machine learning and data engineering roles.
• Experience building scalable data pipelines and data models.
• Proficiency in applying ML algorithms for various tasks.

Responsibilities

• Build and operationalize AI solutions in Apple Finance.
• Collaborate with cross-functional teams and share expertise.
• Rapidly deliver value to the Finance organization.

Skills

Machine Learning Operations

Data Modeling

Python Development

SQL

Cloud Platforms (AWS, GCP, Azure)

Education

Undergraduate degree in computer science, data science, finance, economics, accounting or related discipline

Graduate degree in computer science, data science, math, quantitative finance or similar

Tools

SQL

Python

Various Big Data Technologies

Front end (.js)

Job description

Austin, Texas, United States Corporate Functions

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 machine learning engineer in Finance, you’ll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple’s Finance organization.

Description

This role will require you to be collaborative by learning intra-team and business process in order to build infrastructure and services to enable an effective Machine Learning practice. You will help lead the charge by developing a strong ML Ops process in a dynamic Finance 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

• 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)

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. Learn more about your EEO rights as an applicant.

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.

Learn about accessibility in Apple’s workplace.

Learn about reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.