ML Research Scientist, Audio Algorithms

Share ML Research Scientist, Audio Algorithms

Google Irvine, CA, USA ;
Mountain View, CA, USA

X Applicants in the County of Los Angeles:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Irvine, CA, USA;
Mountain View, CA, USA
.

• 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 Tensor Flow 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.).

• Experience in algorithm implementation and prototyping using C++ and Python.
• Experience taking theoretical ML-audio research ideas and implementing functional product proofs-of-concept.
• Experience navigating high-ambiguity research environments where the priority is delivering massive user differentiation over a specific method.
• Experience in developing foundational elements for ML based voice/audio algorithms.

Join a new, high-velocity "startup-style" Applied Research team within Tech Eng dedicated to transformational audio bets for the next decade of Pixel and Buds. You will lead exploratory, non-timeline-based research into Open Ear Int eligibility and Superhuman Hearing for humans and machines.

We operate under a "Shielded but Connected" model—protected from the gravitational pull of daily product cycles to focus on pure feasibility and first-principles innovation. In this role, you will adopt an impact-first philosophy, ruthlessly prioritizing massive user differentiation to prove the "impossible" and define the foundational elements of agentic audio experiences. If you are an audio architect who grows in lean environments and wants to build the future of sound, this is your team.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.