AIML - Machine Learning Engineer, Siri and Information Intelligence

Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more.

As part of our team, you will be leveraging and improving upon the latest deep learning techniques in order to understand queries, rank user intents, rank documents, and find useful answers to users' questions. Our team is responsible for training and deploying these models at scale, using the latest advances for online inference optimization.

As a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with applied machine learning experience and strong software engineering skills.

Key Responsibilities:

• Analyze search ranking and relevance requirements, issues, and opportunities
• Utilize PyTorch, TensorFlow, and JAX for training and deploying deep learning models
• Understand product requirements and translate them into modeling tasks and engineering tasks
• Build machine-learned models for search relevance ranking, query understanding, and questioning
• Work on a production service that impacts millions of users
• Collaborate with a diverse team of applied scientists and engineers
• Contribute to shaping upcoming Apple products

Join us in pushing the boundaries of AI and machine learning to create smarter, more intuitive experiences for Apple users worldwide.