4 months ago
Base Salary
$197k - $307k/yr
Responsibilities
- Design, develop, and maintain scalable, high-performance backend systems for the platform.
- Improve speech-to-text and text-to-speech quality across diverse environments.
- Build robust scoring and evaluation capabilities for AI agents.
- Fine-tune and adapt models for customer-specific vocabulary and domains.
- Optimize AI pipelines for challenging audio environments, ambiguous requests, and rapid expansion into new domains.
- Run experiments to validate the product impact of new functionality.
- Collaborate on integration between machine learning models, backend systems, and client devices.
Requirements
- 4+ years of hands-on experience developing, implementing, and maintaining cloud infrastructure in production.
- Hands-on applied AI/ML experience beyond using LLMs, including training, fine-tuning, or adapting models.
- Experience evaluating AI systems, such as building model or agent evaluation and scoring systems.
- Strong problem-solving, communication, collaboration, adaptability, and proactive solution-identification skills.
- Willingness to solve problems across the entire product and focus on measurable impact.
- Preferred: experience with audio and speech-to-text or text-to-speech models.
- Preferred: applied research experience or a research engineering background.
- Preferred: experience taking systems from zero to one.
- Preferred: experience building systems integrating with multiple third-party APIs, particularly Point of Sale systems.
- Preferred: experience with Python, Kotlin, or TypeScript.
- Preferred: bachelor's or master's degree in Computer Science, Engineering, or a related field.
Benefits
- The posting describes a rapidly evolving startup environment with an AI-first operating model and active use of advanced AI tools.
- The role partners directly with enterprise customers and works on zero-to-one voice AI problems.
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.