Base Salary
$150k - $250k/yr
Responsibilities
- Architect and manage horizontally scalable systems that accelerate the end-to-end training lifecycle for speech-to-text and text-to-speech models.
- Optimize data preparation and management, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling.
- Design and implement internal UIs and tools that make machine learning systems accessible to non-technical stakeholders.
- Manage training tooling, job orchestration, experiment tracking, and data storage.
- Partner with research scientists to prototype and validate modeling ideas, then scale successful approaches through robust training systems.
Requirements
- Strong experience with the machine learning research pipeline, particularly in speech-to-text or related speech domains, including evaluating architectures and implementing large-scale training systems.
- Proficiency with Kubernetes, Docker, and Prefect for orchestration and infrastructure.
- Familiarity with MLflow and other machine learning lifecycle tooling.
- Experience building internal tools or dashboards for non-technical users.
- Hands-on data engineering experience with unstructured audio and text data.
- Ability to collaborate across research, engineering, and product stakeholder teams.
Benefits
- Medical, dental, and vision benefits; annual wellness stipend; mental health support; life, short-term disability, and long-term disability insurance plans.
- Unlimited paid time off, paid parental leave, flexible schedule, and 12 paid US company holidays.
- Quarterly personal productivity stipend, one-time home office upgrade stipend, 401(k) with company match, and tax savings programs.
- Learning and education stipend, conference and talk participation, employee resource groups, and AI enablement workshops.
- Benefits for international employees are administered locally through an Employer of Record and vary by region.
Tech Stack
Categories
About Deepgram
Deepgram is the real-time API platform powering the trillion-dollar Voice AI economy. Backed by a $130M Series C at a $1.3B valuation, Deepgram is trusted by 200,000+ developers and 1,300+ organizations to build Voice AI products, platforms, and autonomous agents with the lowest latency, highest accuracy, and enterprise reliability. Our voice-native foundation models and runtime infrastructure have processed 50,000+ years of audio and over 1 trillion words, making Deepgram the most experienced voice AI platform in the world. Industry-leading models & platform: 👂 Nova-3 — the world’s most accurate real-time speech-to-text model 🔊 Aura-2 — professional, enterprise-grade text-to-speech 💬 Flux — the first Conversational Speech Recognition model designed to handle interruptions 🚀 Voice Agent API — enterprise-ready, real-time conversational AI 🧠 Saga — the Voice OS Beyond core infrastructure, Deepgram is expanding the Voice AI ecosystem through: 💪 Powered by Deepgram, supporting voice products built by leading AI startups and enterprise organizations 🌉 A new Voice AI Collaboration Hub in San Francisco for builders, partners, and the voice community 🍔 The acquisition of OfOne, delivering real-time Voice AI for restaurants and drive-thru operations with 95%+ containment 📃 A growing patent portfolio in Voice AI Much like APIs powered the payments and cloud economies, Deepgram is building the foundation for a trillion-dollar B2B Voice AI economy—centered on the most natural human interface: voice.