Deepgram
Research Staff, Data Science
USA | Remote · Staff+
Sponsorship not specifiedDetected 21 days ago
PythonDeep LearningPyTorchData ScienceNLPMechanical DesignResearchCommunicationCollaboration
About the role
- Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency.
- There is no organization in the world that understands voice better than Deepgram.
- At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Responsibilities
- Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation 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
- Enjoy building from the ground up and love to create new systems from scratch
- Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation
- Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch
- Can identify the one critical experiment that will validate or kill an idea in days, not months
- Are obsessed with using AI to automate and amplify your own impact
Compensation
- Annual wellness stipend
Benefits
- Have the vision to scale successful proofs-of-concept 100x
- Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
- Experience and expertise applying statistical methods and deep learning models to understand complex data
Company info
- We are seeking Research Staff who:
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This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.