Research Staff, Data Science
Build industrial data factories and pipelines for next-generation Voice AI foundation models at Deepgram. Requires expertise in data processing stacks, statistical/deep learning methods on complex audio, Python/PyTorch, and scaling data systems for conversational speech models.
About the job
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.
Skills
Python, PyTorch, Deep Learning, Statistical Methods, Data Pipelines, Signal Processing, Audio Processing
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