Research Staff – Applied Voice AI

🕒 October 19

🏄 California, New York – Remote

🏄 California – Remote 🗽 New York – Remote

💵 $150k - $250k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 18%

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Deepgram

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Find where Deepgram's 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 • Find the fastest path to a fix, including untested approaches • 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

🎯 Requirements

• Deep experience training, fine-tuning, and evaluating deep learning models • Strong Python and PyTorch skills • Track record of shipping machine learning to production • Experience owning problems end to end and learning as 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 may be beneficial • Experience with distributed training may be beneficial • Published papers, open source contributions, or public benchmarks may be beneficial • Must be legally authorized to work in the country where the role is located • Must not require visa sponsorship to work in the country where the role is located

🏖️ Benefits

• Equity • 10% annual bonus • Bonus eligibility • Remote work arrangement

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