Machine Learning Engineer, Apple Search & Knowledge Platforms

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.

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 build state-of-the-art Gen AI components at scale to power question answering for Siri. 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.

Minimum 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)
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

Preferred Qualifications

PhD or Graduate degree with research/work experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field
Experience in Natural Language Processing including RAG based Generative AI and transformer architecture