AI/ML – Machine Learning Engineer Automation, Siri Understanding


Job Overview

Key Qualifications

  • 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
  • Description

    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. 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, 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 rapidly changing priorities, and collaborate well with other engineering teams at Apple.

    Education & Experience

    MS in Computer Science, Electrical Engineering or related field

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