Senior Software Engineer, Ads Platform & Experimentation

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Stock options

Discretionary bonuses

Relocation assistance

Education reimbursement

Job summary

Apple Inc. is seeking a Senior Software Engineer for the Ads Platform Experimentation team in Cupertino, CA.

You will design and build the next generation of experimentation systems that connect millions of users to content from publishers and developers, with a strong emphasis on privacy, observability, and scalable ML workflows. Collaborate with business leaders to drive experimentation roadmap, implement AB testing frameworks, and deliver reliable, data-driven results.

Qualifications

• Design and build large-scale distributed software systems in cloud environments.
• Experience with AB testing and machine learning methods.
• Proficiency in Java/Scala/Python/SQL and data analysis concepts.
• Strong communication and cross-functional collaboration skills.
• Experience with advertising or ML experimentation is a plus.

Responsibilities

• Partner with stakeholders to design and evolve a multivariate experimentation platform.
• Lead roadmap and feature development for scalable AB testing systems.
• Build observability, monitoring, and efficiency tools for experiments.
• Ensure privacy, reliability, and performance of distributed data pipelines.

Skills

Java

Scala

Python

SQL

AWS

Experimentation frameworks

A/B testing

Statistics

Cross-functional collaboration

Ownership

Education

Bachelor's degree in Computer Science / Statistics / Applied Math or related field

Tools

Spark Streaming

Kafka

Flink

Airflow

Kubeflow

Job description

Apple Inc. is seeking a Senior Software Engineer for the Ads Platform Experimentation team in Cupertino, CA.

You will design and build the next generation of experimentation systems that connect millions of users to content from publishers and developers, with a strong emphasis on privacy, observability, and scalable ML workflows. Collaborate with business leaders to drive experimentation roadmap, implement AB testing frameworks, and deliver reliable, data-driven results.