As an Applied AI Engineer in the Audio Applied AI Research and Innovation team at Google, you will focus on advancing audio technology for the Pixel ecosystem. This role involves bridging the gap between AI research and practical deployment in hardware-constrained environments. You will conduct applied research to tackle complex audio challenges while collaborating with cross-functional teams. Your work will contribute to innovative features for phones, wearables, and future devices.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field.
• 4 years of experience working in a Machine Learning technical environment.
• Master's degree or PhD in a related field is preferred.
• Experience designing and implementing real-time ML based voice processing algorithms for embedded systems or mobile platforms.
• Expertise in generative AI and speech research, including first-author publications at top AI conferences.

• Innovate in audio machine learning through fundamental and applied research.
• Research and develop novel ML models for speech recognition and real-time speech enhancement.
• Design and implement generative models for signal restoration and ambient audio understanding.
• Architect, prototype, and scale robust ML architectures for deployment across mobile and cloud platforms.
• Collaborate with cross-functional hardware and software teams to translate research breakthroughs into integrated product features.

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