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Apple Machine Learning Research Engineer United States, Washington, Seattle 186126101
25.03.2025
Minimum Qualifications
- Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science or related field and 5 years of progressive, post-baccalaureate experience in the job offered or related occupation.
- 5 years of experience with each of the following skills is required:
- Leveraging data structures like List, Map, Hash tables, trie, and algorithms such as binary search, sorting, tf-idf, ndcg, and learning to rank showcases a rich toolkit for handling different aspects of data manipulation, model training, and evaluation.
- Incorporating information retrieval techniques like BM25, posting lists, semantic retrieval, embeddings, recall, demonstrates a thorough understanding of the intricacies involved in retrieving relevant documents from a large corpus.
- Employing a variety of machine learning models including SVMRank, XGBoost, Neural networks, and collaborative filtering ensures a diverse set of approaches to rank documents and provide a better user experience.
- Leveraging distributed systems for large-scale data processing, parallelized training, scalable storage, load balancing, and A/B testing demonstrates a scalable and resilient infrastructure.
- Applying neural network methods to generate embeddings for documents and queries signifies a commitment to semantic retrieval, acknowledging that understanding the context is as important as textual matching.
- Utilizing coding languages like Go, Python, Scala, and Spark for building pipelines, training models, and deploying them to serving stacks.
- Leveraging public cloud services like Cloudera, AWS for storage and data manipulation showcases a scalable and cost-effective solution for managing large datasets.
- 3 years of experience with each of the following skills is required:
- Utilizing Natural Language Processing for query understanding, entity recognition, genre classification, and query intent classification reflects a commitment to enhancing the search system's ability to comprehend user queries and improve relevance.
- Incorporating a big data pipeline for processing logs and creating signals reflects a data-driven approach to continuously improving ranking and retrieval accuracy.
Preferred Qualifications
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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