Research Staff, Voice AI Foundations

🕒 Yesterday

🇳🇱 Netherlands – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Pioneer Latent Space Models to address fundamental data, scale, and cost challenges in robust, contextualized voice AI • Build next-generation neural audio codecs with extreme low-bit-rate compression and high-fidelity reconstruction • Develop steerable generative models synthesizing diverse human speech, including emotional, multi-speaker, noisy, and overlapping-speech scenarios • Create embedding systems that factorize latent spaces into speaker, content, style, environment, and channel dimensions • Use latent recombination to generate synthetic audio data at previously impossible scales • Train multimodal speech-to-speech systems for universal understanding and empathic, human-like responses • Design model architectures, training schemes, and inference algorithms optimized for bare-metal hardware • Enable cost-efficient training on billion-hour datasets and real-time inference for hundreds of millions of concurrent conversations • Conduct rigorous controlled experiments, ablations, evaluations, and stress tests • Collaborate through research publications and open-source contributions

🎯 Requirements

• Strong mathematical foundation in statistical learning theory, particularly for self-supervised and multimodal learning • Deep expertise in foundation model architectures and scaling training across multiple modalities • Ability to derive novel mathematical formulations and implement them efficiently • Demonstrated ability to build and maintain massive, high-quality, diverse data pipelines • Experience designing controlled experiments to isolate architectural impacts and validate theoretical insights • Experience optimizing models for real-world deployment, including hardware constraints and efficiency techniques • Track record of open-source contributions or research publications advancing speech/language AI • Ability to identify critical experiments that validate or disprove ideas quickly • Vision to scale successful proofs-of-concept 100x • Strong AI automation and augmentation mindset • Scholarly literature or academic publications related to speech processing, STT/TTS, or similar requested in the application • Legal authorization to work in the country where the role is located • Ability to address visa sponsorship requirements for the country where the role is located

🏖️ Benefits

• Remote work arrangement • AI-first work environment with opportunities to use and experiment with advanced AI tools • Opportunity to work on transformative voice AI research • Opportunity to contribute to open-source projects and research publications • AI Notetaker interview recording is optional; opting out does not impact candidacy