Senior ML Engineer – Finance: AI, MLOps & Compliance

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

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.