SeniorStaff Machine Learning Engineer, Search & Knowledge Platforms

Are you passionate about search technologies and building knowledge experiences The Answers Knowledge and Information team is at the forefront of revolutionizing how hundreds of millions of people use their devices to obtain information. We are a world-class team of machine learning engineers who collaborate closely with product data science and infrastructure teams to power and enhance features across Apple products including Siri Spotlight Safari Messages and more. Our team operates in one of the most dynamic high-performance computing environments managing petabytes of data and millions of queries per second. As a Senior Machine Learning Engineer you play a critical role in developing world-class search and Qu0026A experiences for Apple customers using cutting-edge search technologies and large language models.

As a member of our dynamic team you will have the unique and rewarding opportunity to contribute to the development of upcoming products from Apple. Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri Safari Spotlight and more. Therefore we are seeking candidates with a deep understanding of large-scale search technology machine learning fundamentals applied machine learning experience and strong software engineering skills. As Senior Machine Learning Engineer for the Search and Knowledge Quality team you will be responsible for developing the ranking and retrieval technologies that power question answering and search across Apple this role you will collaborate with world-renowned experts in large-scale data management machine learning systems and knowledge extraction driving advancements in question answering and search as well as the underlying ranking and retrieval technologies. This is your opportunity to shape how people obtain information by leveraging your Search and applied machine learning expertise along with robust software engineering skills.

Analyze search retrieval ranking and relevance requirements issues and opportunitiesnDesign train and deploy machine learning models to improve search relevance and evaluation metrics and benchmarks for search with multi-functional teams including: product design and data opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases.

Bachelors in Computer Science Machine Learning or a related fieldn7 years of industry or academia experience in machine learning with a focus on search NLP or recommender systemsnStrong programming skills in C/C or Python and experience with ML frameworksnProficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrievalnExcellent communication and collaboration skills

Advance degree in Computer Science Machine Learning or a related fieldn10 years of industry or academia experience in machine learning with a focus on search NLP or recommender systemsnFamiliarity with NLP/ML tools and packages like Jax TensorFlow pyTorch working with transformer-based models (e.g. BERT T5) in a search contextnPrior industry experience on large scale search systemsnAbility to quickly prototype ideas / solutions perform critical analysis and use creative approaches for solving complex problems