At Voice From we're building real-time speech AI that breaks communication barriers across languages, proficiency levels, and context. Think: a single platform that transforms spoken content to fit the listener's needs, instantly.
We're looking for an ML Researcher who's energized by frontier problems in speech/audio-and wants their work to land in a real-time system where every millisecond and nuance counts.
What you'd work on Real-time speech transformation that adapts across linguistic, cultural, and domain context Low-latency streaming inference with tone, prosody, and speaker identity in multilingual settings High-ownership research in a tight feedback loop: rapid experiments, real user signals, fast iteration
You'd be a great fit if You have a strong publication or research track record in speech/audio MLYou hold a PhD in a relevant field (or have equivalent research experience) You're comfortable going from paper to prototype to production You thrive in small teams where your work ships fast and is felt immediately
What we offer: Competitive pay · Remote or hybrid · Company laptop · Potential equity
If this sounds like your kind of challenge, DM me with a few lines on what excites you + a link to your Google Scholar / Git Hub / Linked In.