PhD Intern, Apple Ads (Machine Learning)
Core
Design, develop, and optimize advertising platforms using machine learning to enhance ad relevance, forecasting, performance, and user experience.
Role type
PhD Intern, Machine Learning Engineer
Builds
Advertising platforms and ML models for Apple Services (App Store, Apple News, Apple Maps, MLS Season Pass)
Domain
Advertising technology, Machine Learning, Large-scale distributed systems
Deliverable
production ML models
Required skills
Machine learning algorithms, Data structures and algorithms, Python/Java/Scala/C++, SQL/NoSQL, TensorFlow/PyTorch, Model optimization (quantization, tensor parallelism), Neural network architectures (Transformers, DNNs, RNNs), Reinforcement learning, GenAI concepts, Distributed systems (Spark, Hadoop, Flink, Ray), A/B testing infrastructure
Preferred skills
Recommender systems, NLP, Computer vision, Privacy-preserving ML (federated learning), Independent work, Rapid technology adaptation
