Apple - Cupertino, CA
posted 4 months ago
As a Machine Learning Engineer on the Siri Understanding team at Apple, you will play a pivotal role in revolutionizing human-computer interaction through voice technology. Your primary responsibility will be to enhance the invocation experience of Siri across all Apple devices, contributing to the development of advanced machine learning technologies that enable seamless voice interactions. You will work closely with researchers and engineers to integrate Siri's speech and audio capabilities, ensuring that the voice assistant remains at the forefront of innovation in mobile computing. In this dynamic role, you will be tasked with improving the machine learning training and evaluation infrastructure, which is crucial for enhancing research efficiency and accelerating modeling iterations. You will collaborate with cross-functional teams, including speech and audio hardware and software engineers, to deliver an exceptional user experience. Your hands-on approach will involve building tools, conducting experiments, and applying state-of-the-art speech and audio processing algorithms. The ideal candidate will thrive in a fast-paced environment, demonstrating a proactive attitude and a passion for leveraging new technologies to solve real-world problems. This position requires a strong foundation in applied machine learning and deep learning, particularly in the areas of speech, speaker, and language recognition. You will be expected to utilize your coding skills in Python and C/C++, along with your proficiency in deep learning frameworks such as PyTorch and TensorFlow, to optimize and scale systems globally. Your ability to navigate technical uncertainties and collaborate effectively with partner teams will be essential in addressing complex machine learning modeling challenges.