Machine Learning Engineer - Ads
About The Position
At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! The Apple Ads team is seeking a strategic, hands-on Machine Learning Engineer to drive innovation across a modern, large-scale platform. You will design, build, and operate real-time ML systems and large-scale data pipelines that power end-to-end prediction and decisioning-spanning personalization, retrieval/ranking, allocation, and optimization-while upholding strong reliability, privacy, and safety standards. You'll define and execute an innovation roadmap; productionize models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink); and run A/B experimentation. You will lead performance tuning, calibration, and drift detection to deliver measurable improvements in product quality, user experience, latency, and cost. This role rewards ownership from architecture through monitoring and SLAs, with influence across adjacent areas such as recommendations, response prediction, and experimentation tooling.
Requirements
- 7+ years of experience building machine learning capabilities across many different product areas at scale.
Nice To Haves
- Background in Advertising systems.
- Hands-on experience with service reliability engineering (SRE) and SLA monitoring.
- Contributions to open-source algorithm frameworks or data processing tools.
Responsibilities
- Design, build, and operate real-time ML systems and large-scale data pipelines
- Define and execute an innovation roadmap
- Productionize models with robust CI/CD, feature stores, and streaming infrastructure (e.g., Kafka/Spark/Flink)
- Run A/B experimentation
- Lead performance tuning, calibration, and drift detection
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
