drjobs AIML - Staff Machine Learning Engineer - Search and Knowledge Quality

AIML - Staff Machine Learning Engineer - Search and Knowledge Quality

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1 Vacancy
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Job Location drjobs

Cupertino, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

The Search and Knowledge Quality Team at Apple is seeking exceptional Machine Learning Engineers to join our prestigious group of world-class experts specializing in large-scale data management and machine learning systems. You will play a pivotal role in pushing the boundaries of knowledge question answering within Siri and other Apple products impacting how hundreds of millions of users interact with their this role you will design and develop cutting-edge features for platforms involving large-scale data management machine learning and deep learning systems applied to graph data web documents and both semi-structured and unstructured data feeds. This is your chance to shape upcoming Apple products by leveraging your applied machine learning expertise and robust software engineering skills alongside a diverse team of applied scientists and distributed systems engineers. Your contributions will refine user search experiences ensuring they are not only seamless but deeply satisfying in meeting users information-seeking needs.


  • 15 years industry experience
  • Excellent programming skills in mainstream programming languages such as C Python Scala and Go.
  • Experience working with large data sets and end-to-end pipelines ideally using the Apache software stack (e.g. Spark)
  • Working experience with natural language processing and machine learning frameworks such as PyTorch Tensorflow or JAX
  • Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering
  • Good interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others
  • Experience in machine learning/AI or a similar area
  • BS in Computer Science or related field


  • MS or Ph.D in Computer Science Artificial Intelligence Machine Learning Information Retrieval Data Science or a related field
  • Experience with search and knowledge graph
  • Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
  • Experience with prompt engineering fine-tuning evaluating for large language models
  • Experience with retrieval-augmented generation or generative AI technology is a plus
  • Passion for building phenomenal products and curiosity to learn

Required Experience:

Staff IC

Employment Type

Full-Time

Company Industry

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