Sr. Machine Learning Engineering Manager - ML Data
About The Position
At Apple, we strive every day to create products that enrich people's lives. Apple Ads group helps users worldwide discover new content seamlessly while supporting publishers and developers in promoting and monetizing their work. Our technology powers advertising in the App Store and Apple News, delivering highly performant, privacy-first services that set new industry standards. The Ads Machine Learning Platform team's mission is to help Ads teams develop, deploy, and operate innovative AI/ML applications efficiently and at scale. We are looking for a strategic and collaborative technical leader to guide the development of the data foundations that power our AI/ML initiatives. Your team will design and deliver platform capabilities that allow Ads teams to scale features, models, and applications with reliability, speed, and impact.As an engineering manager, you will lead the design and delivery of scalable data foundations that support AI/ML across Apple Ads. Your team will build and operate platform services that span the full ML data lifecycle-from ingestion and transformation to training, evaluation, and production monitoring-ensuring systems are reliable, privacy-preserving, and built on high-quality data. This role combines deep technical expertise in large-scale data architecture with the ability to develop a cohesive strategy for AI/ML infrastructure at enterprise scale. You will mentor and grow a team of ML and Data Engineers to deliver core data services, tooling, and frameworks that help Apple Ads teams develop, train, and deploy models effectively.Experience collaborating with ML researchers, data scientists, and product engineers on ML solutions.
Nice To Haves
- Expertise in data synthesis, fine-tuning, and data management for foundation models and LLMs, including multimodal workflows.
- Knowledge of data privacy and differential privacy in AI/ML systems.
- Practical experience developing or partnering on production ML models.
- Demonstrated ability to influence and foster collaboration across large, cross-functional teams.
- Experience in advertising technology, recommendation systems, or other applied ML domains.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
