Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech solutions. They are seeking a seasoned Data Scientist to join their Research Staff, focusing on building data pipelines and models for advanced conversational AI. This role involves solving complex data challenges and collaborating with various teams to enhance voice technology capabilities.
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
Skills
- 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
- Background in Physics, Mechanical Engineering or Language Processing
- Experience building models
- Speech and audio experience
Benefits
- Offers Equity
- Offers Bonus
- 10% Annual Bonus
Company Overview
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