Play a part in the next revolution in human-computer interaction. Contribute to the product that is redefining mobile computing through voice interaction. You will help create groundbreaking technology for large scale systems, spoken language, big data, and artificial intelligence. And work with the people who created the always-on always learning best in class intelligent voice assistant that helps millions of people get things done — just by saying “Hey Siri”. Join the Siri team at Apple!

The Siri team is looking for a machine learning engineer to develop and advance frictionless voice invocation experience on Apple’s innovative devices enabling compelling new conversational features for Siri interactions. You should be eager to do hands-on work to improve and build features to improve overall Siri capabilities. You should enjoy working in a constantly evolving environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants.

You will be part of a team that is responsible for developing and integrating Siri’s speech and audio experience in a full range of Apple devices. Your focus will be to continuously improve the invocation experience of Siri voice assistant on all Apple devices across the globe. You will collaborate with researchers to develop advanced machine learning (ML) technologies and agile deployment processes which are easier to scale using the best automation practices. This position requires passion for improving the ML training and evaluation infrastructure for improved research efficiency, and faster modeling iterations. You will work with the speech, audio hardware and software engineering teams to deliver a great speech user experience. You must have a “make this happen” attitude and willingness to also work hands-on in building tools, testing, running experiments as well as work with state-of-the-art speech and audio processing algorithms. You should thrive in a fast paced environment and collaborate well with other engineering teams at Apple.

Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing and scaling systems globallyStrong coding skills in Python, C/C++; comfortable with frequent, incremental code testing and deployment