Senior Software Engineer building automated evaluation pipelines, test infrastructure, and monitoring systems to validate quality of Deepgram's speech, audio, LLM, and multimodal AI models before production release. Requires 5+ years building test/evaluation frameworks, strong analytical skills, and backend experience in Python/Rust/Go.
Intern on the engineering team owning and shipping a real scoped project end-to-end (design to production code) in voice AI, ASR, TTS or related systems. Requires self-motivated builder with first-principles reasoning, AI-first mindset, and ability to quickly learn new languages/codebases.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.
Senior Software Engineer building automated evaluation pipelines, test infrastructure, and monitoring systems to validate quality of Deepgram's speech, audio, LLM, and multimodal AI models before production release. Requires 5+ years building test/evaluation frameworks, strong analytical skills, and backend experience in Python/Rust/Go.
Intern on the engineering team owning and shipping a real scoped project end-to-end (design to production code) in voice AI, ASR, TTS or related systems. Requires self-motivated builder with first-principles reasoning, AI-first mindset, and ability to quickly learn new languages/codebases.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.
Build and maintain ML infrastructure pipelines to deploy research models to production at scale, including CI/CD, A/B testing, monitoring, and optimization for low-latency voice AI serving. Requires 4+ years MLOps experience with Python, Docker, Kubernetes.
Deploys and integrates Deepgram’s voice AI platform into enterprise restaurant environments, owning technical implementations, customizations, production support, and feedback to product teams. Requires strong software engineering skills across APIs, SDKs, cloud infra, and customer obsession.
Builds scalable ML training systems and infrastructure for speech AI models (STT/TTS), prototypes novel ideas with researchers, and creates internal tools for cross-functional teams. Requires strong ML research pipeline experience, especially in speech domains, plus orchestration tools expertise.
Senior Forward-Deployed Engineer embeds with federal customers to deploy Voice AI solutions, owning full technical lifecycle from PoC to production. Requires 5+ years experience, TS/SCI clearance, full-stack skills in Python/JS/Rust, and federal deployment expertise.