D
Research Staff, Voice AI Foundations - Remote
Contract type
Ongoing
Work mode
Remote · The Netherlands
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Member of the Research Staff at Deepgram focused on pioneering Latent Space Models (LSMs) to solve data, scale, and cost challenges in voice AI, including neural audio codecs, steerable generative models, and latent-space embedding systems.
At a glance
- Work mode
- Remote · The Netherlands
What you'll do
- Build next-generation neural audio codecs that achieve extreme, low bit-rate compression and high fidelity reconstruction across a world-scale corpus of general audio
- Pioneer steerable generative models that can synthesize the full diversity of human speech from the codec latent representation, from casual conversation to highly emotional expression to complex multi-speaker scenarios with environmental noise and overlapping speech
- Develop embedding systems that cleanly factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects, enabling precise control over each aspect and the ability to massively amplify an existing seed dataset through latent recombination
- Leverage latent recombination to generate synthetic audio data at previously impossible scales, unlocking joint model and data scaling paradigms for audio
- Train multimodal speech-to-speech systems that can understand any human irrespective of their demographics, state, or environment and produce empathic, human-like responses that achieve conversational or task-oriented objectives
- Design model architectures, training schemes, and inference algorithms that are adapted for hardware at the bare metal enabling cost efficient training on billion-hour datasets and powering real-time inference for hundreds of millions of concurrent conversations
What we're looking for
- Strong mathematical foundation in statistical learning theory, particularly in areas relevant to self-supervised and multimodal learning
- Deep expertise in foundation model architectures, with an understanding of how to scale training across multiple modalities
- Proven ability to bridge theory and practice—someone who can both derive novel mathematical formulations and implement them efficiently
- Demonstrated ability to build data pipelines that can process and curate massive datasets while maintaining quality and diversity
- Track record of designing controlled experiments that isolate the impact of architectural innovations and validate theoretical insights
- Experience optimizing models for real-world deployment, including knowledge of hardware constraints and efficiency techniques
- History of open-source contributions or research publications that have advanced the state of the art in speech/language AI
- See "unsolved" problems as opportunities to pioneer entirely new approaches
- Can identify the one critical experiment that will validate or kill an idea in days, not months
- Have the vision to scale successful proofs-of-concept 100x
- Are obsessed with using AI to automate and amplify your own impact
- Actively use and experiment with advanced AI tools, and even build your own into your everyday work
Apply
About Deepgram
The leading platform underpinning the emerging trillion-dollar Voice AI economy
Deepgram provides real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram'. 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.
Key facts
- Voice AI
- More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram'
- Backed by a recent Series C led by leading global investors and strategic partners
- Has processed over 50,000 years of audio and transcribed more than 1 trillion words
Partners & customers
TwilioCloudflareSierraDecagonVapiDailyCrestaGranolaJack in the Box
What they value
- AI-first mindset
- Experiment and adapt
- Think on your feet
- Learn constantly