The ML Research Scientist for Audio Algorithms will join a dynamic Applied Research team at Google, focusing on innovative audio technologies for future products like Pixel and Buds. This role emphasizes exploratory research into advanced audio perception for both humans and AI, operating independently from traditional product timelines. The team aims to achieve significant user differentiation through groundbreaking audio solutions. Candidates should be prepared to work in a fast-paced, startup-like environment that prioritizes impactful research.

• PhD in Computer Science or 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.
• 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.

• Develop new and advanced algorithms for real-time audio perception initiatives.
• Architect algorithms that connect theoretical research with validated prototypes.
• Prioritize user differentiation while maintaining agility in research direction.
• Provide technical guidance to core execution teams on future audio technology issues.
• Collaborate with a small group of researchers to define foundational elements of next-generation audio experiences.

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