Jobs at Inworld AI

The role involves researching, building, optimizing, and deploying production ML systems focused on speech modeling and conversational AI applications.

The GTM Lead will manage sales processes, translate customer needs, build credibility, and shape the GTM strategy at Inworld.

As a founding Solutions Engineer, you will lead technical discovery, run POCs, and ensure successful customer integration while collaborating with product and revenue teams.

The Finance & Ops Lead will manage strategic finance, accounting, corporate development, and operations, while leveraging AI tools to drive growth.

As a Staff Backend Engineer, you will drive technical contributions, collaborate with peers, optimize product needs, and improve system capabilities in AI software development.

Design and implement scalable ML systems, optimize models for production, and collaborate with teams to develop AI applications.

The Staff Backend Engineer will collaborate on building AI platform components, develop services, and improve system performance while ensuring quality and quick delivery.

The Senior/Lead Research Scientist will develop and evaluate multimodal models, conduct experiments, publish findings, and contribute to impactful AI projects.

As a Staff/Principal Platform Engineer, you will build, secure, and scale AI products, manage cloud infrastructure, integrate CI/CD pipelines, and enhance developer workflows with automated tooling.

The Senior/Lead Research Scientist will develop real-time multimodal models, conduct full-stack research, and publish findings, working with a flat structure focused on impactful, ambiguous problems.

Seeking a Staff or Principal Research Scientist to develop cutting-edge AI models and systems, with a strong emphasis on experimental design and full-stack research ownership.

Seeking a Senior/Lead Machine Learning Engineer with expertise in inference optimization, model acceleration, and high-performance systems for developing real-time multimodal models.

This role involves optimizing inference performance, managing high-performance systems, scaling models, and full-cycle ownership from research to production in a fast-paced environment.

Seeking a Machine Learning Engineer with expertise in inference optimization, model acceleration, and distributed systems to enhance AI models for real-time applications.

As a Staff/Principal Machine Learning Engineer, you will optimize and scale multimodal inference systems, ensuring high performance and reliability in production environments.

The role involves optimizing inference for machine learning models, ensuring efficient serving, and managing scalable systems while collaborating with international teams and contributing to open-source projects.