Staff / Principal 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
Own ambiguous research problems end-to-end, from framing questions and running experiments to shipping results. Work across foundation models, agentic systems, multimodal models, tool use, and test-time compute, with a focus on impact and evaluation.
Requirements
- Experience with foundation models: training, new architectures, RL, reward modeling, scaling
- Experience with evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis
- Experience with frontier topics: multimodal models, agents, tool use, test-time compute, world models
- Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI
- PhD in ML/NLP or equivalent practical experience
- Public work such as non-trivial AI side projects, interdisciplinary experiments, or open-source contributions
- Full-stack research ownership experience
- Must already have the legal right to work in the United Kingdom
Responsibilities
- Research and develop state-of-the-art foundation models
- Optimize realtime inference
- Design evaluation loops and quality measurement systems
- Frame research questions, run experiments, and ship results
- Perform failure analysis on models and systems
- Work on frontier topics such as multimodal models, agents, tool use, test-time compute, and world models
Benefits
- Equity