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Stelle · Principal

Research Staff, Voice AI Foundations

Deepgram
AI / ML Engineer • Principal • Remote • Vollzeit • 📍 EMEA
📄 Originalanzeige ansehen (EN)

Deepgram, a leading Voice AI platform providing real-time speech-to-text, text-to-speech, and production-grade voice agent APIs, is hiring a Member of the Research Staff to pioneer the development of Latent Space Models (LSMs), a new approach aimed at solving the fundamental data, scale, and cost challenges of building robust, contextualized voice AI. Deepgram operates with an AI-first mindset and at a fast pace, so candidates should be comfortable experimenting, adapting, and continuously learning.

Stack

AI/ML

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
  • ▹Develop embedding systems that factorize the codec latent space into interpretable dimensions of speaker, content, style, environment, and channel effects, enabling precise control and latent recombination
  • ▹Leverage latent recombination to generate synthetic audio data at massive scales, unlocking joint model and data scaling paradigms for audio
  • ▹Train multimodal speech-to-speech systems that understand any human and produce empathic, human-like responses for conversational or task-oriented objectives
  • ▹Design model architectures, training schemes, and inference algorithms adapted for hardware at the bare metal, enabling cost-efficient training on billion-hour datasets and real-time inference at massive concurrency

Requirements

  • ▹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: both deriving novel mathematical formulations and implementing them efficiently
  • ▹Demonstrated ability to build data pipelines that 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
  • ▹Comfort with an AI-first mindset, actively using and experimenting with advanced AI tools in daily work

Soft skills

Curiosity and obsession with hard, unsolved problemsAbility to identify the critical experiment that validates or kills an idea quicklyVision to scale successful proofs-of-concept dramaticallyAdaptability and continuous learning in a fast-paced environment

What we offer

  • ▹Medical, dental, and vision benefits
  • ▹Annual wellness stipend and mental health support
  • ▹Life, STD, and LTD income insurance plans
  • ▹Unlimited PTO, parental leave, and a flexible schedule
  • ▹12 paid US company holidays
  • ▹Quarterly personal productivity stipend and a one-time home office upgrade stipend
  • ▹401(k) plan with company match