Jobs at Inworld AI

Build and optimize high-volume, real-time inference systems for speech and language models. Responsibilities include improving model serving with quantization, batching, caching, attention, and decoding techniques; developing high-performance GPU systems; scaling distributed inference across Kubernetes and multi-node environments; profiling and optimizing code; containerizing models; and ensuring reliable production operation.

Generate qualified meetings and pipeline through daily cold outreach across phone, email, LinkedIn, and events. Research accounts using AI tools, identify buying signals, personalize messaging, qualify prospects, maintain accurate CRM records, track conversion metrics, test outreach strategies, and share successful approaches with sales leadership. The role engages technical buyers and operates independently in a growing, on-site Bay Area team.

Own a portfolio of customer accounts, managing renewals, expansion, technical relationships, account health, business reviews, and escalations. Serve as a trusted technical contact, understand customer deployments, coordinate with Sales, Product, Solutions, and Engineering, and communicate customer feedback internally. Use CRM, customer success tools, and AI tools to improve account research, meeting preparation, follow-up, and account management.

Lead and build Inworld’s post-sales Customer Success and Account Management function. Own retention, renewals, expansion, customer outcomes, strategic enterprise accounts, forecasting, lifecycle processes, tooling, and AI-enabled automation. Establish the operating model, recruit and coach the initial team, manage executive relationships, and partner cross-functionally to drive adoption and translate customer needs into product priorities.

Build Inworld’s executive voice, social presence, employer brand, and AI-native content engine. Ghostwrite for founders and technical leaders, manage LinkedIn, X, and YouTube, engage developer communities, repurpose launches and technical materials, and create systems for consistent content production. The role requires hands-on writing, editing, publishing, audience growth, technical interviewing, and effective use of AI tooling. Candidates must be based in or willing to relocate to the San Francisco Bay Area and work onsite several days weekly.

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

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.

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.

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.

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.

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 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.

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