ML Audio Research Scientist — Real-Time Perception

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

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.