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Apple Machine Learning Engineer – Ads Predictions United States, New York, New York 769372166
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- 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- Participate in designing and running large-scale experiments to validate new model architectures and learning strategies
- 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
- 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.
- Great foundation in information retrieval, including query-document matching, embedding-based ranking, and learning-to-rank algorithms is a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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