Job Type
Job Details
- 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.).
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.
- 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.
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