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

Lead a team of data scientists to develop AI-powered products using large language models and other machine learning technologies. Collaborate cross-functionally to operationalize models and drive business outcomes.

As an Applied Research Engineer, you will enhance NLP systems and build LLM-enabled products, running experiments and integrating advanced techniques into software systems.

The AI Product Specialist builds and tests AI Agents using Regal's platform, focusing on conversation flows, prompt engineering, quality control, and product feedback, while supporting customer interactions and product development.

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

Design and run advanced analyses and machine learning/NLP models on large multimodal mental-health datasets. Build preprocessing, feature engineering, validation, and visualization pipelines; write scalable documented code for HPC environments; use version control and containerization; collaborate on project planning and present scientific findings while responsibly handling sensitive data.

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 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.

Lead the design and implementation of scalable AI systems focusing on large language models and speech technologies, while providing technical leadership and mentoring.

As an ML Research Engineer, you'll optimize speech recognition and NLP models, integrate AI components, and develop knowledge graphs. Collaborate with experts, manage rapid experimentation, and publish research.