Drimva

Apple

Staff Machine Learning Engineer – Ads Platform

Austin, Texas · Staff · Full-time · Posted Feb 19, 2026

Experience
8+ years required; 10+ years preferred.
Education
BS or MS in Computer Science, Software Engineering, or a related technical field.

About the job

Build and operate machine-learning systems and data pipelines that protect Apple Ads from invalid traffic and strengthen advertiser trust.

What you'll do

  • Develop and manage the lifecycle and observability of production machine-learning models at scale.
  • Build and optimize distributed data-processing and feature pipelines, and tune system performance.
  • Create tools and pipelines for A/B testing and statistical evaluation; collaborate with product and engineering teams.

What they ask for

  • 8+ years building machine-learning capabilities across multiple product areas at scale.
  • Proficiency in Java, Python, or Scala.
  • Experience with distributed systems and big-data frameworks such as Spark, Kafka, Hadoop, or Flink.
  • BS or MS in Computer Science, Software Engineering, or a related technical field.

Nice to have

  • 10+ years building machine-learning capabilities across multiple product areas at scale.
  • Background in advertising systems; contributions to open-source algorithm frameworks or data-processing tools.

Tools

Java, Python, Scala, Spark, Kafka, Hadoop, Flink

AI focus

Develop and deploy machine-learning models and pipelines for invalid-traffic protection, platform integrity, and advertiser trust; includes model observability, performance tuning, calibration, and drift detection.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)