Senior / Lead Research Scientist
Inworld AI is a research lab and inference provider for realtime AI at consumer scale. It provides text-to-speech, speech-to-text, speech-to-speech, and LLM routing products for developers and businesses building consumer-facing applications.
Maintainer signals as of 9/25/2026
Funding history
Projects
About Inworld AI
Inworld AI develops and operates realtime AI infrastructure, including first-party text-to-speech and speech-to-text models, a customizable speech-to-speech Realtime API, and an LLM Router that routes requests across leading model providers. Its platform supports voice agents, social and companion applications, learning and education, health and wellness, agentic workforce applications, and games and media. The company serves developers, businesses, and teams building consumer-facing applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Join Inworld's research lab to work on ambiguous problems, design experiments, treat evaluation as a first-class research product, and own research end-to-end from framing questions through experimentation and shipping results.
Requirements
- Experience with foundation models, including training, new architectures, reinforcement learning, reward modeling, and scaling
- Experience with evaluation, including benchmarks, evaluation loops, quality measurement, LLM-as-judge, and failure analysis
- Experience with frontier topics such as multimodal models, agents, tool use, test-time compute, and world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP or equivalent practical experience
- Public work such as substantial AI side projects, interdisciplinary experiments, or open-source contributions
- Full-stack research ownership experience
- Professional fluency in written and spoken English
Responsibilities
- Research and develop state-of-the-art foundation models
- Optimize realtime inference
- Design and build evaluation loops and quality measurement systems
- Perform failure analysis on models and systems
- Frame research questions, run experiments, write results, and ship outcomes
- Collaborate daily with US-based leadership and engineering teams