Voice and Audio Researcher, Devices and Services - Google

Mountain View, CA

About the Job

Minimum qualifications:

Master's degree in Electrical Engineering, Computer Science, or a related field with focus on audio signal processing, or equivalent practical experience.
8 years of experience developing Digital Signal Processing algorithms, including voice processing (e.g., noise suppression, spectral analysis).
Experience in one or more of the following: LLM, NLP, ASR, TTS, ML/AI using C, C++, Python.
Experience with MATLAB and Simulink.

Preferred qualifications:

PhD degree in Electrical Engineering, Computer Science, or a related field.
15 years of experience developing Digital Signal Processing algorithms, including voice processing (e.g., noise suppression, spectral analysis).
5 years of experience in a technical leadership role, setting direction and driving business impact.
Experience designing and implementing real-time Machine Learning (ML) based voice processing algorithms for embedded systems or mobile platforms.
Experience optimizing algorithms for performance and low latency.
Experience in generative AI and speech research, including first-author publications at AI conferences (e.g., NeurIPS, ICML, InterSpeech, etc.).

About the job

The Google Pixel team focuses on designing and delivering the world's most helpful mobile experience. The team works on shaping the future of Pixel devices and services through some of the most advanced designs, techniques, products, and experiences in consumer electronics. This includes bringing together the best of Google’s artificial intelligence, software, and hardware to build global smartphones and create transformative experiences for users across the world.

The US base salary range for this full-time position is $214,000-$305,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Innovate in speech, language, and conversational AI through fundamental and applied research.
Design and develop speech algorithms and systems using Digital Signal Processing (DSP), deep learning and big data.
Execute experiments and design implementation, analysis, and communication of results.
Lead a team of Researchers and Engineers, setting technical direction.
Collaborate across disciplines to integrate research into Google products.

Google is proud to be an equal opportunity workplace and is 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.

Source : Google