Siri - Machine Learning Engineer, Speech and Audio Systems
Seattle, Washington, United States
Machine Learning and AI
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 Speech 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.
- 5+ years experience applying deep learning technologies to computer vision, speech recognition, natural language understanding, etc.
- Proficiency in programming languages including but not limited to Python/C/C++
- Extensive experience with machine learning frameworks like Tensorflow, PyTorch
- Strong understanding of embedded systems and server-side engineering optimization
- Outstanding written and verbal communication, with the ability to work well in multi-functional teams
- Experience on speech recognition, and TinyML is preferred
You will be part of a team that is responsible for developing and integrating Siri's speech and audio experience in a full range Apple devices. Your focus will be to continuously improve the invocation experience of Siri voice assistant on all Apple devices, across the globe through technological advances. You will develop new 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 productivity, 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, data collection, running experiments as well as work with state-of-the-art speech and audio processing algorithms. You should thrive in a fast paced environment with constantly evolving priorities, and collaborate well with other engineering teams at Apple.
Education & Experience
MS in Computer Science, Electrical Engineering or related field