Voice AI Foundations Research Scientist

Deepgram; Nederland; Remote; EUR 120,000 - 160,000; Full time

Job summary

Deepgram is seeking a Research Staff member in the Netherlands to advance Latent Space Models for scalable, contextualized voice AI. You will tackle core data, scale, and cost challenges, developing novel codecs and steerable generative models while ensuring alignment with hardware efficiency and real-world deployment constraints.

The role emphasizes bridging theory with practice, building robust data pipelines, and collaborating across teams to translate breakthroughs into scalable solutions in

Qualifications

• Strong mathematical foundation in statistical learning theory and related areas.
• Proven ability to bridge theory and practice with implementable prototypes.
• Experience building data pipelines for large-scale experiments.

Responsibilities

• Pioneer development of Latent Space Models (LSMs) for robust voice AI.
• Solve problems related to data, scale, and cost in audio processing.
• Design architectures, training schemes, and inference algorithms for hardware-efficient AI.
• Collaborate across teams to translate research into production-ready systems.

Skills

Math foundations

Foundation models

AI research

Open source

Job description

Deepgram is seeking a Research Staff member in the Netherlands to advance Latent Space Models for scalable, contextualized voice AI. You will tackle core data, scale, and cost challenges, developing novel codecs and steerable generative models while ensuring alignment with hardware efficiency and real-world deployment constraints.

The role emphasizes bridging theory with practice, building robust data pipelines, and collaborating across teams to translate breakthroughs into scalable solutions in