Deepgram

👥 51-100💰 $47,000,000 Series B about 2 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Developer APIs Data Collection and Labeling Natural Language Processing Speech Recognition💼 Private Company

Website LinkedIn Email Facebook Twitter

Deepgram is a leading voice AI platform empowering developers to build innovative speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) applications. With a focus on unmatched accuracy, low latency, and competitive pricing, Deepgram provides APIs and self-managed software to over 200,000 developers, serving diverse use cases from medical transcription to autonomous agents. The company's voice-native foundational models are at the forefront of the AI revolution. Our technology stack includes cutting-edge cloud infrastructure, with a strong emphasis on Amazon CloudFront, Next.js, and Express. Deepgram's commitment to engineering excellence is evident in its utilization of technologies like Envoy for service mesh and Google Tag Manager for website management. Our team is known for its collaborative spirit, curiosity, and a shared dedication to creating systems and processes that amplify research impact. Deepgram values diversity, inclusion, and a strong focus on customer needs. Deepgram has experienced significant growth, ending 2024 cash-flow positive with over 400 enterprise customers and over 1 trillion words transcribed. Backed by prominent investors, including Y Combinator, Madrona, and Tiger Global, Deepgram has secured over $85 million in funding. We are a remote-first company committed to making voice interaction universally accessible, with an opportunity to be at the forefront of a significant paradigm shift.

Related companies:

🏢 Symbl.ai

👥 51-100💰 $17,000,000 Series A over 3 years agoArtificial Intelligence (AI)Developer APIs Generative AI Information Technology

Website LinkedIn Email Facebook Twitter

🏢 Gretel

👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

Website LinkedIn Email Twitter

🏢 Arize AI

👥 51-100💰 $38,000,000 Series B over 2 years agoArtificial Intelligence (AI)Machine Learning Information Technology Software

Website LinkedIn Email Facebook Twitter

Jobs at this company:

Apply

🔥 Senior Software Engineer - Backend

Posted 7 days ago

🧭 Full-Time

🔍 Software Development

🔧 Requirements

At least several years of experience in an industry role
Programming experience in Rust (or C, C++), with competence in Python
Excellent communication and organizational skills, both written and verbal
A high level of experience and understanding of version control; preferably git
Comprehensive experience with UNIX-style systems

💡 Responsibilities

Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Develop processes for measuring, building, and optimizing services to maximize system performance
Debug complex system issues that include networking, scheduling and high performance computing interactions
Rapidly customize backend services to support our customer needs
Partner with Product to design and implement new services, features, and/or products end to end

Posted 7 days ago

Apply

🔥 Research Scientist - Voice AI Foundations

Posted 7 days ago

🧭 Full-Time

🔍 Software Development

🔧 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—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

💡 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.

Posted 7 days ago

Apply

🔥 Mid-Market Account Executive

Posted 7 days ago

📍 United States, Canada

🧭 Full-Time

🔍 AI/Voice Technology

🔧 Requirements