Top Natural Language Processing (NLP) Jobs in Denver & Boulder, CO

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

As a Junior Research Enablement Engineer, you will develop tools for the LanguageAI research team, focusing on machine learning tasks. Responsibilities include designing applications, working with data services, conducting research, and enhancing product quality.

As a Lead Data Engineer, you'll design and implement AI-powered data systems, focusing on natural language queries and scalable frameworks. Collaborate with teams to optimize data access and enhance reporting tools.

The Senior AI Platform Engineer will design, build, and deploy conversational AI systems, manage technical delivery for clients, and ensure reliability and performance in production, handling real-time constraints and error recovery during implementations.

The AI/Machine Learning Engineer will develop systems for automating health benefits decisions, integrating large language models with rule-driven patterns, and ensuring compliance with regulations.

Design, develop, and deploy AI-powered documentation and content management solutions (CCMS) in a regulated life-sciences environment. Improve documentation workflows with NLP, generative AI, translation tools, and automation; lead project planning, execution, and cross-functional coordination.

As an AI Conversation Designer, you'll create and optimize chatbot flows, analyze performance, and collaborate cross-functionally to enhance customer interactions using AI and NLP technologies.

The Senior Software Engineer - AI Applications will develop AI-driven applications using large language models. Responsibilities include building microservices, data handling, and collaborating on innovative AI solutions.

The Senior Data Scientist will develop NLP systems for analyzing clinical text, collaborating with experts to enhance healthcare workflows and improve decision-making through advanced deep learning models.

Design and deliver scalable AI solutions powered by Large Language Models. Collaborate with teams to create cloud-native architectures, enable knowledge discovery, and mentor engineers in AI initiatives.