Top Natural Language Processing (NLP) Jobs in Seattle, WA

Lead development and implementation of conversational and agentic AI solutions for contact centers. Manage cross-functional teams, translate client requirements into technical specs, design responsive UIs using AngularJS/React/Vue, run usability testing, apply human-centered design, and mentor junior staff while building client relationships to ensure successful delivery of AI-driven products.

Lead design of zero-to-one conversational experiences across LLMs, messaging apps, and voice/chat interfaces. Collaborate with PMs, engineers, researchers, and content to define requirements, craft scalable flows, and evolve a shared conversational platform and design system to ensure consistent, accessible experiences.

Research, develop, and productize scalable AI/ML and GenAI solutions (LLMs, NLP, agentic systems). Build, evaluate, optimize, and deploy deep learning models, collaborate with engineers and product teams, publish research, and contribute to Conversational AI and data science roadmaps.

The Staff Machine Learning Engineer will lead ML initiatives, partnering with multiple teams to enhance customer support through AI-driven solutions, focusing on conversational agents and research in chatbot architectures.

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.

Own and evolve revenue calibration models tying CX interactions to revenue, design causal inference and experimentation frameworks, build LLM-powered classification/NLP pipelines, productionize models with Analytics Engineers, define segmentation and behavioral signals, and ensure statistical rigor for executive reporting and regulatory defensibility.

Design new information architectures for language models, refine their interaction with data, and develop evaluation sets to improve functionality.

Lead and mentor a multidisciplinary AI/ML engineering team to design, build, and operationalize NLP and GenAI solutions (summarization, semantic search, prediction) using structured and unstructured data. Provide hands-on technical direction, collaborate with cross-functional partners, ensure data governance and model reliability, drive hiring and talent development, and apply scalable MLOps and cloud-native practices to deliver product-aligned insights.

Lead strategy and delivery of large-scale conversational AI/chatbot products across web and mobile. Own product vision, roadmap, KPIs, and cross-functional execution; operationalize LLMs/RAG and AI platforms; mentor product teams and drive customer-focused digital transformation across the policy lifecycle.

Develop scalable, high-quality conversational search experiences using React and Java, mentor engineers, and collaborate on significant projects in AI-driven home search.