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

Summary
As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people!

We are seeking a highly skilled Machine Learning Engineer with expertise in developing and deploying applications powered by large language models (LLMs). The ideal candidate will have robust big data management and analytical skills, and be proficient in designing applications and services that encompass all phases of the model development lifecycle, including data curation, fine-tuning, evaluation, deployment, and serving.

Description
Develop or fine-tune machine learning models, including LLMs, for various applications, ensuring high accuracy and performance.
Design and implement ETL pipelines and data processing workflows using technologies such as AWS, Spark, and Airflow.
Build and deploy APIs to provide seamless access to machine learning models.
Engage in prompt engineering to create high-quality synthetic datasets for model training and evaluation.
Maintain and manage deployments using Kubernetes and related technologies.
Collaborate with cross-functional teams to understand project requirements and deliver scalable solutions.