Software Engineer, Siri Speech

MS in Computer Science, Computer Engineering, or equivalent degree, with 8+ years of industry experience\nExperienced in iOS application development with Xcode and Swift \nExperienced in using generative AI agents for coding tasks\nFamiliarity with running model inference in production environments\nExcellent communication and presentation skills\n

Familiarity with large language models\nKnowledge of Apple frameworks\nExperience working in Python, C++ and Unix\nExperienced in server-side software development\nStrong at the design of APIs and client/server protocols\n

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. \\n\\nDo 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!\\n 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 optimization, overrides and asset downloads. Build cloud-based services and develop client protocols. Analyze performance and optimize in complex multi-process environments.