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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in modern TTS and speech generation, with a strong focus on neural audio modeling and the ability to lead and develop research teams. Capable of driving research direction, improving model performance, and effectively communicating complex technical concepts to diverse audiences.
Highest-signal resume keywords
Deep Expertise In Modern TTSNeural Audio ModelingExperience Leading ResearchersTechnical Skills In PyTorchAbility To Explain Technical Tradeoffs
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Speech GenerationAudio Generative ModelingLarge-Scale Neural ModelsNaturalnessExpressivenessControllabilityRobustnessVoice ConsistencyInference CostBenchmarking
Soft Skills
LeadershipCollaborationCommunication
Tools & Technologies
PyTorchAI WorkflowsAutomated MetricsHuman Perceptual Assessment
Industry Keywords
TTS ResearchSpeech ProcessingSTTTechnical DirectionResearch Strategy
Tech Stack
Tools & technologiesPyTorch
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Equity
- Bonus
- Base salary compensation
- AI Notetaker interview recording/transcription, with the option to opt out without impact on candidacy