Research Staff, Data Science

Responsibilities

• Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models.
• Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models.
• Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs.
• Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems.
• Document and present results of data experiments and analysis for internal and external audiences.

Requirements

• Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation.
• Experience and expertise applying statistical methods and deep learning models to understand complex data.
• Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience.
• Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with PyTorch.

Nice-to-Haves

• Background in Physics, Mechanical Engineering or Language Processing.
• Experience building models.
• Speech and audio experience.