ML Research Scientist, Audio Algorithms

Google Inc.; Mountain View, Irvine (CA, CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google Mountain View is seeking an ML Research Scientist for Audio Algorithms to lead exploratory research on next-generation audio technologies. The role focuses on Open Ear intelligibility and human/machine listening capabilities, aiming for breakthrough differentiation.

You will blend theory with practical prototypes, mentor junior researchers, and navigate high-ambiguity environments to deliver impactful research for Pixel and Buds.

Qualifications

• PhD in CS or equivalent practical experience.
• 2 years of experience leading a research agenda.
• Experience developing and training ML algorithms for audio applications.
• Experience with deep learning frameworks like JAX or TensorFlow for signal processing tests.
• At least one publication submission to major conferences or journals.

Responsibilities

• Lead exploratory research into Open Ear Inteligibility and related audio initiatives.
• Bridge theory to validated prototypes and feasibility proofs.
• Prioritize impact and user differentiation in research directions.
• Mentor junior researchers and collaborate with a small team.
• Contribute to foundational elements for next-generation agentic audio.

Skills

Deep learning

Audio ML

Publications

Team mentoring

Research leadership

Education

PhD in CS

Tools

JAX

TensorFlow

Job description

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

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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: Mountain View, CA, USA; Irvine, 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 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.).

Preferred qualifications:

• 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.

About the job

Join a new, high-velocity \"startup-style\" Applied Research team within TechEng dedicated to transformational audio bets for the next decade of Pixel and Buds. You will lead exploratory, non-timeline-based research into Open Ear Inteligibility 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 .

• Develop new and advanced algorithms for \"moonshot\" audio initiatives specifically real time perception for humans and AI operating outside the gravitational pull of immediate product timelines.


• Architect first-principles algorithms that bridge the gap between theoretical research and validated prototypes, proving feasibility before scaling.


• Adopt an impact-first philosophy, prioritizing massive user differentiation and maintaining the agility to pivot when technical paths do not yield high-order breakthroughs.


• Foster a \"Shielded but Connected\" environment, protecting the team's research velocity while providing technical guidance to core execution teams on future-decade issues.


• Collaborate alongside a small group of researchers (including Principal-level leadership) to define the foundational elements of next-generation agentic audio.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.