Senior ML Engineer - Client Experimentation (On-Device A/B)

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. is seeking a Senior ML Engineer to build scalable client-edge experimentation platforms and contribute to the Ads ML Experimentation team.

You will design and implement tools for AB testing, real-time monitoring, and on-device measurement while protecting user privacy. You will collaborate with business leaders to prioritize features, drive architecture decisions, and ship reliable, observable systems across iOS and other native platforms, enabling millions of users to engage with

Qualifications

• Strong experience in experimentation frameworks, A/B testing, and ML methodologies.
• Experience with client-side experimentation including SDK-based feature flagging on iOS.
• Proven ability to instrument client-side exposure and telemetry pipelines end-to-end.
• 10+ years designing, building and maintaining web-scale production systems.

Responsibilities

• Design, implement and evolve a multivariate experimentation platform for client edge experiments.
• Extend the platform for on-device execution and measurement while preserving user privacy.
• Lead roadmap execution and collaborate with business leaders to prioritize features.

Skills

Experimentation frameworks

Statistics & data analysis

SDK-based client-side experiments

Telemetry & logging pipelines

Rollouts & feature flags

Java/Scala/Python/SQL

Communication skills

Web-scale production systems

Education

Degree in Computer Science/Statistics/Applied Math

Tools

A/B testing platforms

Deterministic bucketing

Job description

Apple Inc. is seeking a Senior ML Engineer to build scalable client-edge experimentation platforms and contribute to the Ads ML Experimentation team.

You will design and implement tools for AB testing, real-time monitoring, and on-device measurement while protecting user privacy. You will collaborate with business leaders to prioritize features, drive architecture decisions, and ship reliable, observable systems across iOS and other native platforms, enabling millions of users to engage with