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ASAPP

Speech Software Engineer

New York$215k–$235kfull-timemidAdded today

About this role

ASAPP seeks a Senior Speech Software Engineer to optimize and scale real-time voice AI infrastructure for enterprise call centers. You'll bridge cutting-edge speech research with production systems, tuning ASR/TTS models for low-latency, high-accuracy performance while architecting resilient, high-concurrency voice pipelines.

What you'll do

  • Tune and optimize ASR and TTS models for accuracy, noise robustness, and real-world call center environments
  • Architect scalable, high-availability voice infrastructure handling thousands of concurrent real-time audio streams
  • Design and operate end-to-end streaming pipelines integrating ASR, LLM, and TTS for live conversations
  • Define speech quality evaluation frameworks and build monitoring dashboards for production performance
  • Evaluate and integrate emerging speech technologies like noise suppression, VAD, and diarization
  • Collaborate with Speech Scientists, ML Researchers, and Product teams to productionize models and translate requirements

What they're looking for

  • Golang or Python
  • ASR and TTS systems (applied or production experience)
  • Low-latency, high-concurrency distributed systems design
  • Speech quality metrics (WER, CER, MOS, latency)
  • Audio fundamentals (codecs, buffering, packet loss, jitter)
  • ML model evaluation and fine-tuning
  • Real-time media or streaming data handling
  • Kubernetes, Docker, and cloud deployment

Benefits

  • Work on cutting-edge AI-powered voice technology at scale
  • Collaborate with world-class Speech Scientists and ML Researchers
  • Fast-paced startup environment with continuous learning opportunities
  • Global team with hubs in NYC, Mountain View, Latin America, and India
  • Performance-based bonus compensation
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ASAPP

Website
asapp.com
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Likely interview questions

  • Describe a production ASR or TTS system you've optimized—what quality/latency tradeoffs did you navigate?
  • How would you design a low-latency streaming pipeline to handle thousands of concurrent call center audio streams?