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Research Scientist, Voice

Deepgram· Research
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Hybrid (US (Remote))$150k - $250kFull-timePosted 11mo ago

About the role

Research Scientist role focused on building and deploying state-of-the-art voice AI models (ASR, TTS, diarization, speaker identification, language detection, or code switching) at scale. You will design experiments, lead large-scale distributed training, optimize architectures for speed and memory, and deploy models to production within Deepgram’s scalable voice API.

Responsibilities

  • - Stay up to date with the latest advances in deep learning with a focus on their product implications
  • - Design and carry out experimental programs to build new voice AI models that solve customer problems
  • - Drive large-scale training jobs on distributed computing infrastructure
  • - Optimize model architectures for speed and memory efficiency; deploy new models into production at massive scale
  • - Document and present results and complex technical concepts clearly for internal and external audiences

Qualifications

  • - Prior industry experience building deep learning models to solve audio problems with understanding of neural network types, architectures, and loss mechanisms
  • - Proven experience building models from scratch across the complete deep learning stack (data curation, characterization/cleaning, architecture design, distributed training, inference optimization)
  • - Strong software engineering skills in Python and PyTorch
  • - Experience designing and conducting experimental programs with rapid iteration and course correction

Skills

Required:PythonPyTorch

Benefits

  • - Not specified in the job description
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Deepgram

Building foundational AI for speech transcription and understanding.

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.

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