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Research Engineer, Machine Learning Systems

Deepgram· Research
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Remote$150k - $250k + equity + bonusFull-timePosted 7mo ago

About the role

Research Engineer role focusing on scalable training systems, internal tooling, and data strategies to advance speech recognition and synthesis at Deepgram.

Responsibilities

  • Scalable Model Training: Architect and manage horizontally scalable systems that accelerate end-to-end training lifecycle for STT and TTS models, including optimized data preparation, high-throughput training pipelines, distributed infrastructure, and automated evaluation tooling.
  • Tooling & Accessibility: Design and implement internal UIs and tools to make ML systems accessible to non-technical stakeholders, providing transparency and flexibility for internally built tooling.
  • Infrastructure & Tools: Oversee and manage training tooling, job orchestration, experiment tracking, and data storage.

Qualifications

  • Strong experience with the machine learning research pipeline, particularly in STT or related speech domains; experience experimenting with and evaluating new architectures and modeling approaches, and implementing large-scale training systems.
  • Proficiency with orchestration and infrastructure tools like Kubernetes, Docker, and Prefect.
  • Familiarity with ML lifecycle tools such as MLflow.
  • Experience building internal tools or dashboards for non-technical users.
  • Hands-on experience with data engineering practices for unstructured audio and text data.
  • Comfortable working in cross-functional teams that include researchers, engineers, and product stakeholders.

Skills

Required:Machine learning research pipeline (STT/speech)Orchestration and infrastructure toolsInternal tools / dashboardsData engineering for unstructured audio/text
Nice to have:ML lifecycle tools

Benefits

  • Offers Equity
  • Offers Bonus
  • 10% Annual Bonus
Last updated Sep 30, 2026. Interested? Apply on the company site.
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About Deepgram

Building foundational AI for speech transcription and understanding.

Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.

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