Description
As a Sr. AI Engineer: Speech, you'll be a senior technical leader on our Speech Team, shaping the models and systems that make Dialpad's next-generation AI voice agents accurate, natural, responsive, and trustworthy.
You'll guide the team on state-of-the-art speech models, decoders, and evaluation approaches, while making hands-on contributions across speech recognition, enhancement, audio intelligence, and real-time inference.
Your responsibilities include:
- Setting technical direction for speech-model and decoder strategy
- Leading research, adaptation, and implementation of ASR/STT, speech-enhancement, and related audio models
- Improving the speech pipeline end to end, including decoding, endpointing, turn detection, streaming behavior, and the handoff between ASR, LLM, and TTS
- Benchmarking, prototyping, fine-tuning, distilling, or adapting models and algorithms
- Designing and shipping production-grade services and inference components for real-time speech
- Partnering with speech, NLP, telephony, platform, product, and infrastructure engineers to shape the roadmap and lead technical reviews
The ideal candidate will have:
- Strong Python programming skills and experience with deep learning frameworks such as PyTorch
- 5+ years of experience in speech ML, speech recognition, speech enhancement, audio AI, or a closely related field
- Deep understanding of modern ASR/STT architectures and decoding techniques
- A track record of taking ideas from papers, experiments, or emerging models and turning them into measurable product improvements
- Experience building, deploying, and operating low-latency, production-grade ML or backend services in a cloud environment
- Demonstrated ability to set technical direction, communicate clearly across disciplines, mentor engineers, and make pragmatic decisions
This role offers a target base salary range of $224,500-$256,000 USD.
Benefits include competitive salary, comprehensive benefits, and real opportunities for growth.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/dialpad/jobs/8766150002