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ML Research Scientist, Audio Algorithms

Google· Google Research / TechEng Applied Research
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Hybrid (Irvine, CA; Mountain View, CA)$174k - $252kFull-timePosted 4w ago

About the role

Join a high-velocity Applied Research team within TechEng focused on transformational audio bets for Pixel and Buds. Lead exploratory, non-timeline-based research into Open Ear Intelligibility and Superhuman Hearing, prioritizing massive user differentiation and foundational agentic audio elements.

Responsibilities

  • Develop new and advanced algorithms for moonshot audio initiatives focusing on real-time perception for humans and AI beyond immediate product timelines.
  • Architect first-principles algorithms bridging theory and validated prototypes, proving feasibility before scaling.
  • Adopt an impact-first philosophy, prioritizing massive user differentiation and pivoting when needed.
  • Foster a Shielded but Connected environment, protecting research velocity while guiding execution teams on future-decade issues.
  • Collaborate with a small group of researchers to define foundational elements of next-generation agentic audio.

Qualifications

  • 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 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 submissions (conferences, journals, or public repositories such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Skills

Required:PhD or equivalent practical experienceLeadership of research agendaAudio ML algorithmsDeep learning frameworks (JAX, TensorFlow)Publications

Benefits

  • Learn more about benefits at Google (link provided in job description).
Last updated Oct 23, 2026. Interested? Apply on the company site.

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