ML Research Scientist, Audio Algorithms

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

Job summary

Google LLC in the United States seeks a Share ML Research Scientist, Audio Algorithms to advance ML research for audio applications across Irvine and Mountain View. You will lead exploratory work on Open Ear Inteligibility and Superhuman Hearing, balancing feasibility with high-impact innovations.

Applicants should have a PhD or equivalent, 2+ years leading research, and experience with ML for audio using JAX or TensorFlow. Collaborative, impact-driven environment with competitive compensation.

Qualifications

• PhD in Computer Science, related field, 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 such as JAX or TensorFlow for signal processing tests.
• Publications in conferences, journals, or public repositories (CVPR, ICCV, NeurIPS, ICML, ICLR).

Responsibilities

• Lead exploratory research into Open Ear Inteligibility and Superhuman Hearing for humans and machines.
• Work on transformational audio bets for Pixel and Buds.
• Prioritize feasibility and foundation elements of agentic audio experiences.
• Collaborate with the Applied Research team to deliver impact-first innovation.

Skills

Machine learning for audio

Deep learning

C++ / Python

Research leadership

Education

PhD in CS or related field

Tools

JAX

TensorFlow

Job description

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 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.

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.