Summary
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
Key Qualifications
Excellent programming skills in mainstream programming languages such as Python, Scala, and Go.
Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow
Working experience with NLP and Large Language Models
Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g. Spark)
Experience with continuous integration and continuous development solutions (e.g. Jenkins, etc.)
Experience with cloud-native deployment (e.g. Kubernetes) is a good plus
Broad knowledge of computer science and systems; ability to quickly learn new domains
Excellent problem-solving and analytic skills
Good interpersonal skills and teamwork
Passion for building phenomenal products and curiosity to learn
Industry experience of at least 3 years in a similar position is preferred
Description
The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning systems over graph data, and knowledge extraction over semi-structured and unstructured data feeds. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for.
Education & Experience
MS or PHD in Computer Science or a related field
Additional Requirements
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