SWE - Sr. Software Engineer, Siri Response

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to be a part of Apple Intelligence, and make Siri and related products smarter for our users? The Siri Speech team focuses on voice interactions with users. By understanding and responding to the user in context, with all the nuance of human conversation, we enhance the connection with the user. In addition, we partner with teams across Apple to build exciting natural language features, like Personal Voice and Digital Narration. All of this is empowered by the latest machine learning models. Join our team, and you will have the opportunity to build features that delight millions of users every day.

Description

You will be responsible for delivering new natural language capabilities through state-of-the-art Machine Learning techniques. Use your creativity to explore how technology can lead to new user experiences. The role includes learning about new models and figuring out how to productize them to run on all Apple hardware. Design systems to support model inference with overrides and asset downloads. Build cloud-based services and develop client protocols. Analyze performance and optimize in complex multi-process environments.

Minimum Qualifications

MS in Computer Science, Computer Engineering, or equivalent degree, with 8+ years of industry experience Experienced in iOS application development with Xcode and Swift Experienced in server-side software development Strong at the design of APIs and client/server protocols Familiarity with deploying machine learning models in production environments Excellent communication and presentation skills

Preferred Qualifications

Familiarity with large language models Knowledge of Apple frameworks Experience working in Python, C++ and Unix