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 ML
• You 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 / GitHub / LinkedIn.