Apple
Finance Machine Learning Engineer - Tech Lead
Austin, Texas · Full-time · Posted Jan 9, 2026
- Experience
- At least 8 years in an engineering role; at least 1 year leading engineers and collaborating cross-functionally.
- Education
- Graduate degree in computer science, data science, math, quantitative finance, or similar discipline; undergraduate degree in computer science, data science, finance, economics, accounting, or related business discipline.
About the job
Leads engineering for machine learning solutions supporting product cost and Operations Finance, from solution design through production deployment.
What you'll do
- Oversee solution design and engineers, and share expertise across teams.
- Partner with cross-functional teams and explain technical concepts to non-technical audiences.
- Operationalize AI solutions and strengthen machine learning engineering practices to deliver reliable value to Finance.
What they ask for
- At least 8 years of experience in an engineering role.
- At least 1 year leading engineers and collaborating cross-functionally, translating technical concepts, and turning ideas into solutions.
- Experience building data models and scalable pipelines using SQL and big data technologies; expertise in data ops best practices.
- Experience with Python, front-end (.js), ML algorithms, generative AI and agentic solutions, MLOps/LLMOps, CI/CD, drift monitoring, and cloud platforms; graduate and undergraduate degrees in listed or related fields.
Nice to have
- Experience in corporate finance, accounting, or supply chain.
- Understanding of financial statements, P&L impact, accounting principles, SOX and tax compliance, and month-end close.
Tools
SQL, Python, .js, AWS, GCP, Azure, CI/CD
AI focus
Build and productionize ML solutions for regression, classification, and anomaly detection, as well as generative AI and agentic solutions; implement MLOps/LLMOps, including CI/CD and drift monitoring.
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