Integrate real-time text-to-speech with Sonic-3.6, Cartesia. Backed by General Catalyst, Index and Kleiner Perkins.
About the role
The New Horizons Evaluations team is reimagining how we measure progress in interactive machine intelligence. As Evaluations Lead , you will design evaluation frameworks that capture not just what models know — but how they reason, remember, and interact over time. You’ll work at the intersection of research, product, and infrastructure to develop metrics, systems, and studies that define what “intelligence” means in the next generation of AI.
What they're looking for
- Experience designing or implementing evaluation frameworks for generative models (audio, text, or multimodal)
- Strong technical and analytical skills, ability to take open-ended research ideas and translate them into production-ready systems
- Creativity in defining novel quantitative metrics for subjective or behavioral qualities
- Excitement for building evaluation systems that bridge research and real-world use
- Curiosity and rigor in equal measure, motivation driven by discovering how to measure meaningful progress in intelligent behavior
More about this role
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
The New Horizons Evaluations team is reimagining how we measure progress in interactive machine intelligence. As Evaluations Lead , you will design evaluation frameworks that capture not just what models know — but how they reason, remember, and interact over time. You’ll work at the intersection of research, product, and infrastructure to develop...
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