Director, Text-to-Speech Synthesis Research

🕒 September 17

🏄 California, Michigan – Remote

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💵 $213k - $328.3k / year

⏰ Full Time

🔴 Lead

👔 Director

🦅 H1B Visa Sponsor

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👻 Ghost score 19%

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Logo of Deepgram

Deepgram

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

• Own the TTS research and model roadmap • Decide which technical directions can materially improve speech-generation quality • Drive advances in neural audio modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance • Ensure research advances produce measurable production gains • Review research, challenge assumptions, design experiments, diagnose model failures, and solve high-leverage technical problems • Build evaluation and benchmarking using automated metrics and human perceptual assessment • Lead individual contributors and technical lead managers • Hire and develop researchers and research leaders while maintaining a high technical bar • Grow senior researchers into technical leaders and set direction across sub-teams • Partner with engineering and product leadership on ship-readiness • Represent Deepgram’s TTS research internally and externally

🎯 Requirements

• Deep expertise in modern TTS, speech generation, or audio generative modeling • Track record of personally training and improving large-scale neural models • Command of the modern speech-generation stack and open problems in naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost • Experience setting research direction under uncertainty, prioritizing experiments, allocating compute and researcher time, and discontinuing ineffective approaches • Experience leading researchers and research engineers through other technical leaders, developing tech lead managers or equivalent, and setting direction across sub-teams • AI as a default mode of work, with experience rebuilding workflows around AI and a specific view of its limitations in speech research • Ability to explain complex technical tradeoffs to product, engineering, and executive audiences • Scholarly literature/academic publications related to speech processing, STT/TTS, or similar • Technical skills with technologies, systems, or tools used to train AI models, including PyTorch or other libraries • Legally authorized to work in the United States; visa sponsorship requirements disclosed • No educational credential explicitly required

🏖️ Benefits

• Equity • Bonus • Base salary compensation • AI Notetaker interview recording/transcription, with the option to opt out without impact on candidacy

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