At Apple, the business problem is to improve the customer experience by developing machine learning models that power ad predictions and monetization across Apple’s App Store and News platforms, while respecting user privacy and delivering value for advertisers.
Requirements
- 4+ 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
Responsibilities
- Design and implement ML models to improve predictions of user interaction, click-through rate (CTR), and conversion rate (CVR)
- Develop and optimize retrieval algorithms, leveraging techniques from classical IR and modern deep learning
- Contribute to core modeling areas such as deep neural networks, contextual bandits, multi-task learning, and LLM-based ranking signals
- Work with large-scale, distributed datasets to identify new signals and improve model accuracy and robustness
- Collaborate with cross-functional teams across engineering, infrastructure, and product to scale models to production
- Participate in designing and running large-scale experiments to validate new model architectures and learning strategies
Other
- Bachelor's, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
- MS or PhD, or equivalent experience, in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval, or a related field.
- Ability to work in a fast-paced, privacy-first environment
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
