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Techire AI in San Francisco or New York City is seeking a Senior/Staff Research Scientist to build core speech foundation models and advance the next generation of voice AI at scale.
You will design SOTA architectures, develop efficient audio processing algorithms, and build scalable systems that handle massive workloads while collaborating with engineering to move research into production.
Want to build the speech and audio models that define how the next generation of voice AI actually sounds and listens?
A well-funded AI startup has developed new model architectures that make real-time conversational AI finally viable at scale. While most voice AI still suffers from delays and computational bottlenecks, they've solved the core efficiency problems that have held the field back.
As their Senior/Staff Research Scientist, you'll build core speech foundation models that could define the next decade of voice interaction. You'll work on novel architectures that have immediate real-world impact for thousands of customers.
You'll join a solid research team, including technical founders who've published work that's fundamentally shifted how the field thinks about efficient, large-scale foundation models.
They're well-funded and generating strong revenue. Comp is on par with top AI labs, with base over $400k+ DOE plus a generous equity package.
The role is based in SF or NYC (hybrid).
If you're excited about building the foundational models that will power the next generation of voice AI, we'd love to hear from you.