The Staff Research Scientist in Foundational Audio at Google will lead research agendas focused on sequence, speech, and audio modeling. This role involves applying advanced theories to develop innovative products and technologies while managing large-scale tests and experiments. The position requires collaboration with other research teams and contributions to the wider research community through publications. The ideal candidate will have a strong background in machine learning and audio processing.

• PhD in Computer Science, Linguistics, Electrical Engineering, Mathematics, Physics, or a related field.
• 2 years of experience leading a research agenda in sequence, speech, or audio modeling.
• Experience with sequence-to-sequence models and speech-text modeling.
• Experience with hardware-aware model co-design and optimization in JAX, PyTorch, or TensorFlow.
• One or more peer-reviewed publications in relevant conferences or journals.

• Define and lead research agendas, experimental designs, and evaluation benchmarks in sequence, speech, audio, and multimodal modeling.
• Co-design and optimize models for scaling laws, memory or cache efficiency, and low-latency streaming inference.
• Contribute to open-source toolkits and mentor junior researchers.

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