AIML - Machine Learning Engineer (Knowledge Extraction), Siri and Information Intelligence

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. 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.

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.

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

Education & Experience: MS or PHD in Computer Science or a related field

Apple offers comprehensive benefits, stock options, and a collaborative work environment. Join us in creating innovative products that impact millions of users worldwide.