Apple AI/ML - Machine Learning Engineer Automation, Siri Understanding in Seattle, Washington
AI/ML - Machine Learning Engineer Automation, Siri Understanding
Machine Learning and AI
3-5 years of experience with scalable machine learning technologies
Embedded / Server-side software engineering experience on developing systems for computer vision, speech recognition, natural language understanding applications.
Proficiency in programming languages including but not limited to C/C++/Python
Experience with machine learning frameworks like Tensorflow, PyTorch
Strong understanding of embedded systems optimization and server-side engineering optimization
Outstanding written and verbal communication, with the ability to work well in multi-functional teams
You will be a part of a team that's responsible for help develop and integrate Siri’s speech and audio experience in a full range Apple devices. Your work will have an impact on millions of Apple devices we ship. This position requires passion for improving the speech recognition software system and frameworks. You will work with the speech, audio hardware and software engineering teams to deliver a phenomenal 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 will be a part of a team that's responsible for a wide variety of language technologies related research and development activities. Your focus will be on applying deep learning to natural language processing tasks, such as language modeling, word segmentation, end-to-end speech recognition, etc. Our research typically relies on very large quantities of data and state-of-the-art methods in deep learning to tackle real world problems, at scale. You should therefore be passionate about building phenomenal products that are used by millions of people. Because you'll be working closely with scientists and engineers from a number of other teams at Apple, you’re a teammate who thrives in a fast-paced environment with rapidly changing priorities.
Education & Experience
MS in Computer Science, Electrical Engineering or related field
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