Machine Learning Engineer - Ads Predictions

We’re is looking for a highly skilled and motivated Machine Learning Engineer to join our Predictions group. We build the core machine learning models that power ad predictions and monetization across Apple’s App Store and News platforms. The ideal candidate will bring deep expertise in machine learning, information retrieval, and large-scale modeling, and will thrive in a fast-paced, privacy-first environment.

6+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web-scale search/retrieval

Deep experience with neural network architectures (e.g., Transformers, DNNs, RNNs) and training pipelines using TensorFlow, PyTorch

Practical understanding of reinforcement learning, explore/exploit strategies, and bandit-based optimization

Experience working with high-volume data pipelines, A/B testing infrastructure, and performance measurement at scale

Proficient in Python and familiar with SQL, Scala, or Java for production environments

Ability to translate abstract ideas into concrete, high-impact solutions

Bachelor’s, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.

Preferred Qualifications

MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.

Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms is a plus

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!