Software Engineer - Large Language Models & Generative AI
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
The Intelligence Platform team empowers clients across Apple's operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We're an applied Machine Learning team within Intelligence Platform that leverages state of the art technologies like generative AI, Retrieval-Augmented Generation, and private learning to deliver high quality products! We are in search of an accomplished and driven Software Engineer who can help us build systems that leverage Large Language Models and Generative AI. Your primary role will involve building software components that run on-device and on the server to enable us to develop, deploy and run inference on our models. Additionally, you will focus on automating and testing our data pipelines, ensuring data quality, generating reports based on data quality metrics, and creating pipelines to automate data quality and sanitization processes. By contributing to our team, you'll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms!
Description
As a Software Engineer on the Intelligence Platform team, you'll join a dedicated group of engineers and researchers with diverse responsibilities. You will develop and maintain software systems essential for deploying and operating Large Language Models and Generative AI, building robust, scalable, and efficient solutions that integrate AI models into our platforms. Your role involves automating and testing data pipelines to ensure seamless data flow and processing, implementing testing frameworks to validate the functionality and performance of AI-driven components. Additionally, you will create and maintain pipelines for automating data quality checks and sanitization processes, monitor and assess data quality to identify and resolve issues, and generate comprehensive reports based on data quality metrics to inform decision-making and process improvements. You will also develop dashboards and visualization tools to present data insights effectively. Collaborating closely with machine learning engineers, you will integrate AI models into scalable and efficient software solutions and contribute to all phases of the software development lifecycle, from requirement analysis to design, coding, testing, deployment, and support. Furthermore, you will optimize existing software systems for performance, scalability, and reliability, enhance pipeline efficiency to support rapid deployment and iteration of AI models, and engage with cross-functional teams to understand user needs and deliver features that enhance user experiences.
The Intelligence Platform team empowers clients across Apple's operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We're an applied Machine Learning team within Intelligence Platform that leverages state of the art technologies like generative AI, Retrieval-Augmented Generation, and private learning to deliver high quality products! We are in search of an accomplished and driven Software Engineer who can help us build systems that leverage Large Language Models and Generative AI. Your primary role will involve building software components that run on-device and on the server to enable us to develop, deploy and run inference on our models. Additionally, you will focus on automating and testing our data pipelines, ensuring data quality, generating reports based on data quality metrics, and creating pipelines to automate data quality and sanitization processes. By contributing to our team, you'll play an integral part in developing Siri, Photos, Music, and various other services, leaving a significant footprint on the evolution of our AI platforms!
Description
As a Software Engineer on the Intelligence Platform team, you'll join a dedicated group of engineers and researchers with diverse responsibilities. You will develop and maintain software systems essential for deploying and operating Large Language Models and Generative AI, building robust, scalable, and efficient solutions that integrate AI models into our platforms. Your role involves automating and testing data pipelines to ensure seamless data flow and processing, implementing testing frameworks to validate the functionality and performance of AI-driven components. Additionally, you will create and maintain pipelines for automating data quality checks and sanitization processes, monitor and assess data quality to identify and resolve issues, and generate comprehensive reports based on data quality metrics to inform decision-making and process improvements. You will also develop dashboards and visualization tools to present data insights effectively. Collaborating closely with machine learning engineers, you will integrate AI models into scalable and efficient software solutions and contribute to all phases of the software development lifecycle, from requirement analysis to design, coding, testing, deployment, and support. Furthermore, you will optimize existing software systems for performance, scalability, and reliability, enhance pipeline efficiency to support rapid deployment and iteration of AI models, and engage with cross-functional teams to understand user needs and deliver features that enhance user experiences.