
51 - 200 employees
Founded 2015
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $47M Series B on 2022-11
Consulting • Healthcare • Logistics
Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $150k - $250k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📚 Research Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 18%
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51 - 200 employees
Founded 2015
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $47M Series B on 2022-11
Consulting • Healthcare • Logistics
Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.
• Find where models fall short and set targets for improvement • Design evaluations showing whether a model is better and why • Curate and generate data and fine-tune models • Build working systems quickly and ship them to production • Turn vague customer problems into clear metrics • Use fine-tuning, new data, and external models to solve customer problems • Own customer problems until they measurably improve in production • Determine when results are ready for customers • Expand models to new languages and regions • Improve text-to-speech pronunciation of names, terms, and numbers • Isolate speakers' voices from background noise and crosstalk • Give customers early access to new voice capabilities and use feedback to guide research methodology • Release new benchmarks for Voice AI use cases
• Deep experience training, fine-tuning, and evaluating deep learning models • Strong Python and PyTorch skills • Track record of shipping ML to production • Ability to own problems end to end and learn what is needed • Good judgment about which problems matter and when a result is ready to ship • Experience with speech-to-text, text-to-speech, or voice agents (strong candidate plus) • Experience with distributed training (strong candidate plus) • Published papers, open source contributions, or public benchmarks (strong candidate plus) • Comfortable actively using and experimenting with advanced AI tools • Must be legally authorized to work in the country where the role is located
• Equity • 10% annual bonus • Bonus • Remote work arrangement
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