The Audio Algorithm Architect role at Google involves leading exploratory research into innovative audio technologies such as Superhuman Hearing and Open Ear ANC. As part of a new Applied Research team, the architect will focus on developing first-principles algorithms that bridge theoretical research and practical prototypes. This position emphasizes an impact-first philosophy, prioritizing user differentiation and fostering a collaborative environment. The role requires navigating high-ambiguity research settings while maintaining strategic guidance for future product execution.

• Bachelor's degree in Machine Learning, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience.
• 8 years of experience developing machine learning algorithms specifically for audio applications.
• Experience in algorithm implementation and prototyping using C++ and Python.
• Experience with deep learning frameworks such as JAX, TensorFlow, or PyTorch applied to signal processing challenges.

• Lead algorithm feasibility research for audio initiatives, specifically Superhuman Hearing.
• Architect first-principles algorithms that bridge the gap between theoretical research and validated prototypes.
• Adopt an impact-first philosophy, prioritizing massive user differentiation.
• Foster a 'shielded but connected' environment to protect the team's research velocity.
• Collaborate as a founding technical pillar alongside a small group of researchers to define foundational elements of next-generation audio.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.