Lead ML Audio Research Scientist — Real-Time Sound

Socket.dev; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Google is seeking a high-velocity applied research engineer to lead exploratory ML-audio work focused on real-time perception for humans and AI. You will shape foundational algorithms and bridge theory with validated prototypes in an open-ended research setting.

The role emphasizes impact-first exploration, massive user differentiation, and collaboration with senior researchers to define next-generation agentic audio technologies. Equity and comprehensive benefits accompany the salary.

Qualifications

• PhD or equivalent in CS or related field and research leadership.
• Experience developing ML-audio algorithms for audio applications.
• Publications or submission track in top venues.

Responsibilities

• Develop new algorithms for real-time audio perception for humans and AI.
• Architect first-principles algorithms bridging theory and prototypes.
• Prioritize impact and user differentiation in research directions.
• Protect research velocity while guiding future-decade issues with execution teams.
• Collaborate with researchers to define foundational elements of agentic audio.

Skills

Audio ML research

Leadership experience

Real-time processing

Publications

Education

PhD in CS or related field

Equivalent practical experience

Tools

JAX

TensorFlow

C++

Python

Job description

Google is seeking a high-velocity applied research engineer to lead exploratory ML-audio work focused on real-time perception for humans and AI. You will shape foundational algorithms and bridge theory with validated prototypes in an open-ended research setting.

The role emphasizes impact-first exploration, massive user differentiation, and collaboration with senior researchers to define next-generation agentic audio technologies. Equity and comprehensive benefits accompany the salary.