Role at a glance
- Job function
-
AI & Data Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's, Master's
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Role Summary
The machine learning engineer will serve as technical lead for product cost in support of Operations Finance. The role works with a multidisciplinary engineering pod to operationalize AI solutions and deliver them reliably for Apple’s Finance organization.
What You'll Do
- Oversee solution design and engineers as the technical lead for product cost.
- Partner with teammates and share expertise across teams.
- Explain technical concepts to non-technical audiences and collaborate across functions.
- Operationalize AI solutions, bridging prototypes and production.
- Instill strong engineering practices in team machine-learning processes and support reliable delivery of value to Finance.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires at least 8 years of engineering experience, including at least one year leading engineers and collaborating cross-functionally. Requires experience building data models and scalable SQL/big-data pipelines with data-ops practices; Python development with DRY, modularity, testing, version control, and code reviews; front-end JavaScript; and ML for regression, classification, and anomaly detection. Also requires generative AI and agentic solution development, MLOps/LLMOps including CI/CD and drift monitoring, and familiarity with AWS, GCP, or Azure. Requires graduate and undergraduate degrees in the listed or similar fields.
Required
- At least 8 years of engineering experience and at least one year effectively leading engineers and collaborating cross-functionally.
- Experience building data models and scalable pipelines using SQL and big-data technologies, with data-ops best practices.
- Python development experience, including DRY principles, modularity, testing standards, version control, and code reviews; front-end...
- Experience applying ML algorithms for regression, classification, and anomaly detection; building generative AI and agentic solutions;...
- Graduate degree in computer science, data science, math, quantitative finance, or a similar discipline, and undergraduate degree in...
Preferred
- Previous experience 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...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
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 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 be the technical lead for product cost, supporting our Operations Finance organization. You will work as part of a multi-discipline engineering pod with data and software engineers, product managers and program managers. Your ability to learn business processes and instill strong engineering practices into team machine learning processes will be critical. A key part of your role will be to operationalize AI solutions, bridging the gap between prototype and production to rapidly and reliably deliver value to the Finance organization.
Responsibilities
Technical lead overseeing solution design and engineers
Partner with teammates and share expertise across teams
Explain technical concepts to non-technical audiences
Collaborate effectively with cross-functional teams
Operationalize AI solutions, bridging the gap between prototype and production
Instill strong engineering practices into team machine learning processes
Rapidly and reliably deliver value to the Finance organization
Minimum Qualifications
At least 8 years experience in an engineering role
At least one year experience effectively leading engineers and collaborating cross-functionally, translating technical concepts for diverse audiences and converting ideas into solutions with strong process and data understanding
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 and advocating for DRY principles, modularity, testing standards, version control, and code reviews. Experience with front end (.js experience)
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 familiarity working with cloud platforms (AWS, GCP, Azure)
Graduate degree (computer science, data science, math, quantitative finance, or similar discipline)
Undergraduate degree (computer science, data science, finance, economics, accounting, or related business discipline)
Preferred Qualifications
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
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.