Deepgram · 2 weeks ago
Research Staff, Voice AI Foundations
United States
Full-time
Remote
Lead/StaffDeepgram is the leading voice AI platform for developers building advanced speech technologies. As a member of the Research Staff, you will pioneer the development of Latent Space Models to address challenges in voice AI, focusing on creating innovative neural audio codecs and generative models that enhance human-machine interaction.
Artificial Intelligence (AI)Data Collection and LabelingDeveloper APIsNatural Language ProcessingSpeech Recognition
Responsibilities
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
Endeavor to train multimodal speech-to-speech systems that can 1) understand any human irrespective of their demographics, state, or environment and 2) 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
Qualification
Required
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
Company
Deepgram
Deepgram provides a voice artificial intelligence platform for speech-to-text, text-to-speech, and voice applications.
Founded in 2015
51-200 employees
H1B Sponsorship
Deepgram has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$229.09MKey Investors
AVPTiger Global ManagementIQT
2026-01-13Series C· $143.17M
2022-11-26Series B· $47M
2021-02-03Series B· $25M
Leadership Team
Scott Stephenson
Co-Founder and CEO
Adam Sypniewski
Chief Technology Officer
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