Research Scientist in Voice AI - Remote

Overview

Deepgram is seeking a Research Scientist to pioneer the development of Latent Space Models (LSMs) aimed at solving challenges in voice AI. This role involves building next-generation neural audio codecs, developing steerable generative models, and creating embedding systems for audio data.

In Short

• Pioneer the development of Latent Space Models (LSMs).
• Build neural audio codecs for low bit-rate compression.
• Develop generative models for diverse human speech synthesis.
• Create embedding systems for audio data interpretation.
• Train multimodal speech-to-speech systems.
• Design model architectures for efficient training.
• Work on real-time inference for large-scale applications.
• Collaborate with a team of innovative researchers.
• Contribute to open-source projects and publications.
• Drive impactful research in voice AI technology.

Requirements

• Strong foundation in statistical learning theory.
• Expertise in foundation model architectures.
• Ability to bridge theory and practice in AI.
• Experience with data pipelines for large datasets.
• Track record of designing controlled experiments.
• Knowledge of optimizing models for deployment.
• History of contributions to speech/language AI research.

Benefits

• Work on cutting-edge technology in AI.
• Collaborative and inclusive work environment.
• Opportunities for professional growth and development.
• Flexible work arrangements.
• Competitive salary and benefits package.