Senior AI Engineer
Leads development of speech models, decoders, and low-latency inference systems for next-generation voice agents. Requires 5+ years in speech ML or related audio AI, strong Python and PyTorch experience, and the ability to guide technical direction and mentor engineers.
About the job
Responsibilities
- Set technical direction for speech-model and decoder strategy across the team.
- Lead research, adaptation, and implementation of ASR/STT, speech-enhancement, and audio models.
- Improve end-to-end real-time speech pipelines, including decoding, endpointing, turn detection, streaming behavior, and ASR/LLM/TTS handoffs.
- Benchmark, prototype, fine-tune, distill, and adapt models and algorithms to improve voice-agent quality, latency, cost, and reliability.
- Design and ship production-grade services and inference components for real-time speech.
- Partner with speech, NLP, telephony, platform, product, and infrastructure engineers.
- Lead technical reviews, mentor teammates, and translate speech advances into measurable product improvements.
Requirements
- 5+ years of experience in speech ML, speech recognition, speech enhancement, audio AI, or a closely related field.
- Strong Python programming skills and experience with deep learning frameworks such as PyTorch.
- Hands-on experience improving speech models or systems used in real-world applications.
- Deep understanding of modern ASR/STT architectures and decoding techniques.
- Experience evaluating and adapting models across accuracy, robustness, streaming behavior, latency, and compute cost.
- Track record of turning research ideas, papers, experiments, or emerging models into measurable product improvements.
- Experience building, deploying, and operating low-latency, production-grade ML or backend services in a cloud environment.
- Ability to set technical direction, communicate across disciplines, mentor engineers, and balance model quality, reliability, latency, and customer impact.
Nice to Have
- Experience with streaming inference and observability.
- Experience with Google Cloud Platform (GCP).
- Background in research-heavy ML, backend/inference engineering, or both.
Compensation
- California target base salary: $224,500–$256,000 USD.
Skills
Python, PyTorch, Asr, Speech Recognition, Speech Enhancement, Audio Ai, Speech Models, Decoding, Real-Time Inference, Streaming Inference, Deep Learning, GCP, Backend Services, Observability
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