Senior ML Engineer, Experimentation Platform

Apple; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple in Cupertino seeks an ML Engineer to design and build the next generation ML and experimentation platform for the Ads ecosystem, transforming complex ML workflows into intuitive web applications while delivering on Apple’s privacy commitments.

You’ll collaborate across teams to deliver AI-powered insights, run model training through A/B testing and evaluation, and build scalable, observable, and user-friendly interfaces that empower publishers and developers.

Qualifications

• Fluency in full-stack development using React, TypeScript, and modern JavaScript.
• Industry experience in ML domain, with experience building features and models.
• Experience in Ads domain.
• Knowledge of ML platforms/infrastructure, ML fundamentals, and Experimentation fundamentals.
• Strong understanding of data structures and algorithms for optimization.
• Experience designing, implementing, and iterating on intuitive user interfaces.
• Experience with online and offline A/B Testing infrastructure and/or methodologies.
• Proficiency with database design and SQL.

Responsibilities

• Design and build the next generation ML and experimentation platform for the Apple Ads ecosystem.
• Transform complex ML workflows into intuitive web applications.
• Introduce AI-powered insights through seamless user interfaces and workflows from model training to A/B testing.

Skills

Full-stack React TS

ML in Ads

Observability Tools

SQL & DB design

UI/UX Design

A/B testing infra

Education

Degree in CS/Statistics/Applied Math

Tools

React

TypeScript

Java

PostgreSQL

Job description

Apple in Cupertino seeks an ML Engineer to design and build the next generation ML and experimentation platform for the Ads ecosystem, transforming complex ML workflows into intuitive web applications while delivering on Apple’s privacy commitments.

You’ll collaborate across teams to deliver AI-powered insights, run model training through A/B testing and evaluation, and build scalable, observable, and user-friendly interfaces that empower publishers and developers.