[ engineering ]
Ml Engineer, Audio
Sandbar- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Sandbar. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
ML Engineer, Audio at Sandbar. This role involves developing and deploying speech-to-text (STT) and text-to-speech (TTS) models for a conversational computer called Stream. Responsibilities include optimizing inference pipelines and collaborating with cross-functional teams.
Skills and focus areas
- machine learning
- audio
- voice models
- stt
- tts
- ml deployment
- human-in-the-loop
- agentic interactions
- inference optimization
- latency
- reliability
- concurrency
Summary written by Ramai from the original posting. Full details and requirements are on Sandbar’s careers page.
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