Senior Software Engineer - Rust - Backend - Consumer
KrakenFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must have at least 3 years of industry experience, proficiency in Rust (or C, C++) with competence in Python, excellent communication and organizational skills, a high level of experience with version control (preferably Git), and comprehensive experience with UNIX-style systems. Experience with modern machine learning frameworks like Torch or knowledge of CNNs, RNNs, and transformer architectures, as well as audio processing experience, would be beneficial.
The Backend Engineer will lead the design and implementation of secure, robust, and scalable services for speech processing, distributed compute orchestration, and optimized scheduling. Responsibilities include improving core inference services in areas like networking, speech processing, audio transcoding, and latency/memory optimization, developing processes for measuring and optimizing services for maximum performance, debugging complex system issues, rapidly customizing backend services for customer needs, and partnering with Product to design and implement new services and features end-to-end.
Speech recognition APIs for audio transcription
Deepgram specializes in artificial intelligence for speech recognition, offering a set of APIs that developers can use to transcribe and understand audio content. Their technology allows clients, ranging from startups to large organizations like NASA, to process millions of audio minutes daily. Deepgram's APIs are designed to be fast, accurate, scalable, and cost-effective, making them suitable for businesses needing to handle large volumes of audio data. The company operates on a pay-per-use model, where clients are charged based on the amount of audio they transcribe, allowing Deepgram to grow its revenue alongside client usage. With a focus on the high-growth market of speech recognition, Deepgram is positioned for future success.