Senior Research Scientist

Inworld AI

. Conduct research on realtime AI for consumer-facing applications .

Posted 10/14/2026full-timeRemote • SerbiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in foundation models, speech models, and LLMs, with a strong focus on evaluation benchmarks and quality measurement systems. Proven ability to conduct impactful research from experimentation to publication and deployment in consumer-facing applications.

Highest-signal resume keywords

Foundation Models DevelopmentEvaluation BenchmarkingMultimodal Models ResearchPublished Research in AI ConferencesPhD in ML/NLP

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Applicant Tracking System Keywords

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Hard Skills

Foundation ModelsSpeech ModelsLLMsReinforcement LearningReward ModelingQuality MeasurementEvaluation LoopsFailure AnalysisExperiment DesignResearch Publication

Soft Skills

CollaborationCommunication

Industry Keywords

AI ArchitecturesConsumer ApplicationsTest-Time ComputeWorld ModelsInterdisciplinary Experiments

About the role

Key responsibilities & impact

Conduct research on realtime AI for consumer-facing applications
Develop and improve foundation models, speech models, LLMs, and related AI architectures
Design and run experiments to clarify ambiguous research questions
Build evaluation benchmarks, evaluation loops, and quality measurement systems
Investigate multimodal models, agents, tool use, test-time compute, and world models
Take research from question framing through experimentation, publication, and production deployment
Ship research results for high-impact consumer applications
Collaborate daily with US-based leadership and engineering teams
Share impactful work that advances the field when appropriate

Requirements

What you’ll need

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 non-trivial AI side projects, interdisciplinary experiments, or open-source contributions
Full-stack research ownership, from framing questions and running experiments to writing papers and shipping results
Professional fluency in English, written and spoken
Legal right to work in Serbia