Top Natural Language Processing (NLP) Jobs in NYC, NY

Lead a team to deliver AI powered products, leveraging machine learning and NLP for customer applications, while collaborating with cross-functional teams.

The AI Conversation Designer will create and maintain AI customer support experiences, focusing on chatbot dialogue, QA processes, and integrations, using analytics and best practices.

The Head of Technology oversees the architecture and operations of a behavioral intelligence platform, leading a high-performance team and managing strategic integrations. Responsibilities include building cloud-native infrastructure, designing natural language interfaces, and ensuring data privacy and governance.

The Technical Product Lead will improve Regal's voice AI agents by setting performance standards, developing benchmarking frameworks, and staying updated on AI trends, ensuring competitive differentiation and customer satisfaction.

As a Data Scientist at Octus, you will design, build, and maintain AI-driven systems, focusing on large language models and productionizing AI solutions while collaborating with cross-functional teams.

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.

The Senior AI Engineer will develop core AI systems for healthcare, focusing on real-time inference and NLP pipelines, ensuring safety and scalability in medical consultations.

Lead the design and evaluation of conversational AI systems from data preparation to model deployment, focusing on transforming unstructured conversations into actionable insights.

Lead design and evaluation of applied AI systems for conversational intelligence. Responsibilities include model architecture, evaluation frameworks, and collaboration with cross-functional teams.

The Data Scientist at AirOps will lead the design and deployment of machine learning systems, focusing on NLP and AI-driven content optimization. The role requires collaboration across teams to enhance product capabilities and build strategies that improve search visibility for brands.