Jobs at Inworld.ai

Senior/Lead Research Scientist at Inworld.ai focusing on foundation models, evaluation, and frontier AI topics. Requires experience in training, architectures, RL, reward modeling, scaling, benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis, multimodal models, agents, tool use, test-time compute, and world models.

Senior/Lead Machine Learning Engineer focused on serving at Inworld.ai. This role involves optimizing inference for real-time AI applications, working with LLM serving frameworks, and accelerating model performance through techniques like quantization and speculative decoding.

Senior/Lead Research Scientist at Inworld.ai focused on real-time AI for consumer applications. Responsibilities include research and development in foundation models, evaluation methodologies, and frontier AI topics like multimodal models and agents.

Senior/Lead Machine Learning Engineer focused on serving at Inworld.ai. This role involves optimizing real-time inference for large-scale AI applications and requires deep understanding of modern serving frameworks and model acceleration techniques.

Staff/Principal Research Scientist at Inworld.ai focused on real-time AI for consumer applications. Responsibilities include research and development in foundation models, evaluation, and frontier AI topics.

Staff / Principal Platform Engineer at Inworld.ai responsible for end-to-end ownership of building, securing, and scaling AI products. This role involves driving cloud infrastructure, partnering with engineers to deploy and evolve services across major cloud providers using tools like Terraform and ArgoCD.

Staff/Principal Research Scientist at Inworld.ai focused on advancing agentic systems. Requires expertise in foundation models, evaluation methodologies, and frontier AI topics like multimodal models and agents.

Staff/Principal Machine Learning Engineer focused on serving at Inworld.ai. This role involves optimizing real-time inference for state-of-the-art voice models, requiring deep understanding of modern serving frameworks and model acceleration techniques.

North America GTM Lead at Inworld.ai, reporting to the Director of Partnerships. This role involves managing key prospects and customers, translating customer needs into scalable solutions, and driving deals end-to-end to ensure seamless adoption and long-term customer impact.

Staff/Principal Machine Learning Engineer at Inworld.ai focused on serving. This role involves optimizing inference for real-time AI applications, working with LLM serving frameworks, and accelerating models through techniques like quantization and continuous batching.

Staff/Principal Machine Learning Engineer at Inworld.ai focused on serving. This role involves deep understanding of inference optimization, modern serving frameworks, and model acceleration techniques like quantization, distillation, and continuous batching. Requires proficiency in high-performance systems and languages such as C++, CUDA, Rust, or highly optimized Python.

Staff/Principal Research Scientist at Inworld.ai focused on advancing state-of-the-art realtime voice models. This role involves research and development in areas like foundation models, evaluation, and frontier AI topics.