Deepgram
The Backend Software Engineer on the Active Learning Team at Deepgram is responsible for designing and implementing internal data and ML training systems, focusing on developing secure, scalable services for data management and distributed compute orchestration for ML training jobs. The role requires improving data processing services, optimizing performance, and debugging complex system issues while working closely with DataOps and Research teams on end-to-end service implementations. Candidates should have over three years of experience, proficiency in Rust (or C/C++) and Python, and experience with UNIX systems, with familiarity in machine learning frameworks being advantageous.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2015
Deepgram is an advanced voice technology company that specializes in providing enterprise solutions through its Speech-to-Text (STT), Text-to-Speech (TTS), and Voice Agent APIs. Its platform offers real-time, highly accurate transcription and voice synthesis capabilities, designed to scale with the needs of businesses. Deepgram's solutions are built for integration into various applications, enabling companies to leverage sophisticated voice AI technology for enhanced customer interactions and operational efficiency.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Deepgram.
1 week ago