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This role pays more than
83%
of similar roles. Most pay
$204,395–$254,750
— the blue band above.
At the midpoint, this role pays about
$255k
versus about
$230k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3544 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2734 roles with salary data.
The Senior ML Engineer - Client Experimentation joins the Ads ML Experimentation team to build next-generation software platforms and systems for large-scale experimentation. This role involves developing a multivariate experimentation platform, extending it to the client edge for on-device execution, and designing tools for A/B test management, exploratory analysis, and real-time monitoring. You will build systems for predictive algorithms while ensuring privacy-preserving measurement through on-device aggregation and differential privacy. Key responsibilities include implementing SDK-based feature flagging, remote configuration, and deterministic bucketing on native platforms like iOS. The role requires proficiency in Java, Scala, Python, and SQL, alongside expertise in statistics and machine learning methodologies. You will solve technical challenges regarding client-server allocation consistency, telemetry pipelines, and staged rollouts within an advertising and recommender systems context.
Design and implement features for a multivariate experimentation platform to support machine learned algorithms at scale.
Extend the experimentation platform to the client edge for safe on-device execution and measurement.
Build tools for managing A/B test experiments, performing exploratory analysis, and real-time monitoring.
Instrument client-side exposure and metric logging for telemetry pipelines from device to backend.
Operate staged rollouts, holdbacks, kill-switches, and forced-treatment overrides for client features.
Ensure client-server allocation consistency and backward/forward compatibility across different app versions.
Implement privacy-preserving client-side measurement using on-device aggregation and differential privacy.
Execute the experimentation roadmap using data-driven prioritization to balance short-term wins with long-term success.
What we're looking for
Degree in Computer Science, Statistics, Applied Math or related field.
10+ years of industry experience designing, building, maintaining, and extending web-scale production systems.
Strong experience in experimentation frameworks, A/B testing, and Machine Learning methodologies.
Familiarity with statistics and data analysis techniques to understand data quality and business metrics.
Experience building client-side experimentation including SDK-based feature flagging and on-device experiment assignment on iOS or comparable platforms.
Proven track record instrumenting client-side exposure and metric logging with telemetry pipelines from device to backend.
Hands-on experience operating staged rollouts, holdbacks, kill-switches, and forced-treatment overrides for client features.
Fluency in programming languages like Java, Scala, Python, and SQL.