Senior Machine Learning Engineer – Ads Predictions

What you'll do

• Design and implement ML models to enhance user interaction predictions and ad performance metrics.
• Develop and optimize large-scale retrieval algorithms using both classical IR and deep learning techniques.
• Contribute to advanced modeling areas like contextual bandits, multi-task learning, and LLM-based ranking signals.
• Identify new data signals in distributed datasets to improve model accuracy and robustness at scale.
• Participate in designing and executing experiments to validate novel ML architectures and strategies.
• Collaborate on scaling machine learning models to production environments across Apple’s platforms.

What we're looking for

• 6+ years of machine learning experience at scale, preferably in ad tech or web-scale systems
• Expertise in neural network architectures like Transformers, DNNs, RNNs using TensorFlow, PyTorch
• Proficiency in reinforcement learning and bandit-based optimization techniques
• Experience with high-volume data pipelines and A/B testing infrastructure
• Strong Python skills and familiarity with SQL, Scala, or Java for production environments