Google
Senior Research Scientist, Audio Machine Learning
Google, Mountain View, California, us, 94039
Senior Research Scientist, Audio Machine Learning
4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Overview
As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. You will also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as collaborations with research programs at partner universities and technical institutes all over the world. Responsibilities
Own Machine Learning model development including model training and optimization. Contribute to model inference optimization into Android Kernel/HAL and audio and speech algorithms development process. Design and fine tune ML models for Pixel devices. Contribute to prototyping to delivery for audio features. Collaborate with Android Pixel Audio and Google Silicon teams for feature development. Minimum qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications
PhD in Electrical and Computer Engineering, Acoustics, or similar field. 2 years of coding experience. 1 year of experience leading research efforts and influencing other researchers. Experience in Python programming and ML frameworks (e.g., TensorFlow, JAX, and PyTorch). Experience with International Conferences such as ICASSP, Interspeech, etc. Experience in generative Audio Models and Audio Source Separation. About The Job
Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. In this role, you will be responsible for the algorithm development for audio use cases across Pixel product lines. You will innovate, execute, and validate audio pipelines through both offline simulation and real-time on-device hardware. You will interact with partner teams such as Google DeepMind and Google Silicon to design and modify the algorithms and software layers to impact the upcoming Google audio technology roadmap across the Pixel ecosystem. The Google Pixel team focuses on delivering the world’s most helpful mobile experience, shaping the future of Pixel devices and services through advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together Google’s AI, software, and hardware to build global smartphones and transform user experiences. Compensation
The US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Individual pay is influenced by location, skills, experience, and education. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. EEO
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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4 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Overview
As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. You will also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as collaborations with research programs at partner universities and technical institutes all over the world. Responsibilities
Own Machine Learning model development including model training and optimization. Contribute to model inference optimization into Android Kernel/HAL and audio and speech algorithms development process. Design and fine tune ML models for Pixel devices. Contribute to prototyping to delivery for audio features. Collaborate with Android Pixel Audio and Google Silicon teams for feature development. Minimum qualifications
PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications
PhD in Electrical and Computer Engineering, Acoustics, or similar field. 2 years of coding experience. 1 year of experience leading research efforts and influencing other researchers. Experience in Python programming and ML frameworks (e.g., TensorFlow, JAX, and PyTorch). Experience with International Conferences such as ICASSP, Interspeech, etc. Experience in generative Audio Models and Audio Source Separation. About The Job
Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. In this role, you will be responsible for the algorithm development for audio use cases across Pixel product lines. You will innovate, execute, and validate audio pipelines through both offline simulation and real-time on-device hardware. You will interact with partner teams such as Google DeepMind and Google Silicon to design and modify the algorithms and software layers to impact the upcoming Google audio technology roadmap across the Pixel ecosystem. The Google Pixel team focuses on delivering the world’s most helpful mobile experience, shaping the future of Pixel devices and services through advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together Google’s AI, software, and hardware to build global smartphones and transform user experiences. Compensation
The US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location. Individual pay is influenced by location, skills, experience, and education. Your recruiter can share the specific salary range for your location during the hiring process. Compensation details listed reflect base salary only and do not include bonus, equity, or benefits. Learn more about benefits at Google. EEO
Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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