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# Staff Machine Learning Engineer - Ads Predictions

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Salary:** $216,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Artificial Intelligence, App Store (IOS), Artificial Neural Networks, Human-Computer Interaction, Information Retrieval, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, SQL Databases, Reinforcement Learning, Large Language Models, Deep Learning, Information Technology, Feature Extraction, Data Pipelines, Recurrent Neural Networks
- **Published:** November 4, 2026
- **Apply:** https://www.juju.com/job/7_21312E79EE8DFCE38031384060DC6716

## About the Role

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!DescriptionWe'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.You'll work at the intersection of applied ML, deep learning, and retrieval systems-developing models that predict user interaction, optimize marketplace outcomes, and scale across billions of queries.
You'll also explore and operationalize emerging techniques in Large Language Models (LLMs), Reinforcement Learning, and representation learning to advance Apple's ad prediction systems.Minimum Qualifications8+ years of experience applying machine learning and statistical modeling at scale, preferably in ad tech, recommender systems, or web-scale search/retrievalDeep experience with neural network architectures (e.g., Transformers, DNNs, RNNs) and training pipelines using TensorFlow, PyTorchPractical understanding of reinforcement learning, explore/exploit strategies, and bandit-based optimizationExperience working with high-volume data pipelines, A/B testing infrastructure, and performance measurement at scaleProficient in Python and familiar with SQL, Scala, or Java for production environmentsAbility to translate abstract ideas into concrete, high-impact solutionsBachelor's, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or
a related field.Preferred QualificationsMS 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 plusPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range.