ML Research Scientist, Audio Algorithms

ML Research Scientist, Audio Algorithms corporate_fare Google place Irvine, CA, USA ; Mountain View, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Google | Irvine, CA, USA ; Mountain View, CA, USA Minimum qualifications PhD in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. Experience developing and training machine learning algorithms specifically for audio applications (e.g., neural noise suppression, acoustic modeling, or speech enhancement). Experience with deep learning frameworks such as JAX or TensorFlow applied to signal processing tests. One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Learn more share Share ML Research Scientist, Audio Algorithms link Copy link email Email a friend