AIML – Machine Learning Engineer, Siri and Information Intelligence Full-time

Summary
The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Models to power innovative features in both Apple’s devices and services on the cloud!

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated ML models, using word embeddings and deep learning to understand the quality of matches, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies.

Description
For this position within the AIML Information Integrity team, you will be tasked with identifying and spearheading the most impactful quality initiatives for Siri and Search products. We are looking for people with excellent applied ML experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

-Make data driven decisions to identify, compare and prioritize opportunities to improve our Siri and Search products
-Developing, fine-tuning, and evaluating domain-specific Large Language Models for various tasks and applications in Apple’s AI-powered products
-Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies
– Understanding product requirements, translate them into modeling tasks and engineering tasks
-Building machine learned models for intent classification, entity recognition, search relevance, ranking and query understanding problems
-Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
-Building end-to-end production systems including query understanding and ranking to power search
-Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing