Senior/Lead Research Scientist (AI)

Senior / Lead Research Scientist

Company

Inworld AI

Conditions

6 days agoLead Germany Remote Full Time Research Jobs by Inworld AI

Inworld AI Inworld AI develops AI products for growing applications, helping developers go from prototype to production faster. Their offerings include advanced text-to-speech (TTS) technology and an upcoming Runtime product, aimed at enhancing consumer applications with expressive, real-time voice AI. Distributed Funding Unknown Strategic ($10T) Seed ($7T) Investors Blizzard M13 MH Ventures Skyland Ventures Red Building Capital Projects Inworld AI AI About Inworld AI Inworld develops AI products for consumer applications. They offer a text-to-speech model that aims for high quality with better pricing, lower latency, more control, local serving options, and open training code. They also have a product called Inworld Runtime, which is currently in private preview. Their services are used by partners like XBOX, Ubisoft, NVIDIA, and Meta. They focus on helping developers go from prototype to production faster and increase experimentation velocity to deploy new AI improvements daily. View jobs by Inworld AI

Skills

Agent Benchmark Evaluation Failure Analysis Foundation Models Generative Ai Llm-As-Judge Multimodal Model Reinforcement Learning Research Reward Modeling Scaling Test-Time Compute Tool Use World Model

About the Role

You'll join a research lab building the world's top-ranked realtime voice models. You'll work on unclear, ambiguous problems and be expected to make them clear, designing experiments to find answers rather than relying on existing playbooks. You'll treat evaluation as a first-class research product rather than a checkbox, and you'll take ownership of your research end-to-end, from framing the question through running experiments to shipping the result. You'll collaborate daily with US-based leadership and engineering teams, and your work should be visible with impact prioritized over publications, although sharing work that moves the field forward is supported.

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
• Professional fluency in English, written and spoken

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

Показать контакты