Key skills
RustCC++PythonGitUNIX-style systemsMachine learning frameworks e.g.Machine learning frameworks TorchConvolutional Neural Networks (CNNs)Recurrent Neural Networks (RNNs)TransformersAudio processingAIMachine LearningVersion ControlCommunication
About this role
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. The role involves leading the design and implementation of backend services for speech processing and optimizing system performance.
Responsibilities:
- Improve Deepgram’s core inference services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
- Develop processes for measuring, building, and optimizing services to maximize system performance
- Debug complex system issues that include networking, scheduling, and high performance computing interactions
- Rapidly customize backend services to support our customer needs
- Partner with Product to design and implement new services, features, and/or products end to end
Requirements:
- 3+ years of experience in an industry role
- Programming experience in Rust (or C, C++), with competence in Python
- Excellent communication and organizational skills, both written and verbal
- A high level of experience and understanding of version control; preferably git
- Comprehensive experience with UNIX-style systems
- Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
- Experience with audio processing