6 months ago
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 builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.