Top Natural Language Processing (NLP) Jobs in Boston, MA

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.

Build and scale Klaviyo's AI-native Customer Agent platform across frontend and backend. Design conversational experiences, retrieval and orchestration systems, integrations, observability, and deployment. Drive architecture, mentor engineers, ensure reliability, and ship high-quality, scalable AI-driven customer engagement features.

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

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, train, evaluate, and deploy production-quality machine learning models for conversational voice intelligence. Collaborate with researchers, engineers, and product teams to run experiments, improve model performance and reliability, operationalize ML systems, monitor production models, mentor teammates, and contribute to technical strategy and applied research.

The Principal Engineer for Conversational AI will lead engineering teams, develop high-quality AI software solutions, and ensure operational excellence. They will oversee design and code reviews, mentor team members, and drive technical vision in cloud environments.

Build and maintain record-matching and text-analytics components for an AI-native analytics platform. Implement NLP and linguistics ideas into production code, optimize search internals (Elasticsearch), collaborate in agile sprints, and help design scalable APIs and architectures under senior engineering guidance.

The role involves architecting and building scalable AI solutions, including orchestrating workflows, developing Text-to-SQL agents, and maintaining automated evaluations within a life sciences context.

As a Research Engineer/Scientist, advance large-scale language model technologies focusing on pre-training, post-training, and Reinforcement Learning, while collaborating with product managers and engineers to implement impactful AI solutions.