Inworld AI
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🔌 API
🎮 Gaming
💰 $50M Series A on 2022-08
Artificial Intelligence • API • Gaming
Inworld AI is a developer-focused conversational AI platform that provides a realtime, provider-agnostic runtime and high-quality TTS for building expressive voice agents and virtual characters. It offers multilingual, low-latency streaming voice, instant cloning, emotion and non-verbal controls, and an API-based integration layer with templates and pipelines optimized for scale and cost. The platform is used across games, media, contact centers, and other interactive experiences to boost engagement and reduce infrastructure costs.
Senior / Lead Research Scientist
🕒 March 18
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Inworld AI
51 - 200 employees
Founded 2021
🤖 Artificial Intelligence
🔌 API
🎮 Gaming
💰 $50M Series A on 2022-08
Artificial Intelligence • API • Gaming
Inworld AI is a developer-focused conversational AI platform that provides a realtime, provider-agnostic runtime and high-quality TTS for building expressive voice agents and virtual characters. It offers multilingual, low-latency streaming voice, instant cloning, emotion and non-verbal controls, and an API-based integration layer with templates and pipelines optimized for scale and cost. The platform is used across games, media, contact centers, and other interactive experiences to boost engagement and reduce infrastructure costs.
📋 Description
• Hand unclear problems and expect to make them clear • Design experiments • Treat evaluation as a first-class research product • Work should be visible • Flat structure, fast iterations, minimal process theater
🎯 Requirements
• Foundation models: training, new architectures, RL, reward modeling, scaling • Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis • 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 you can point to • Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions • Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result • Experience in place of education is considered.
🏖️ Benefits
• Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
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