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

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.

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.

The Research Scientist will lead hands-on research in Conversational AI, advocate for new AI applications, mentor junior researchers, and contribute to publications.

As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

Lead the Brex Assistant product end-to-end: set strategy and roadmap, define agent capabilities, design prompts and evals, prototype and iterate on LLM/agent behavior, analyze failures and usage, and partner with engineering, design, and research to deliver a trustworthy, action-taking conversational AI in a financial context.

Build and own production AI systems for legal workflows, including retrieval, document understanding, agentic LLM systems, evals, and data pipelines. Collaborate with engineers, lawyers, designers, and customers to translate legal judgment into reliable, usable product behavior.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

The AI/ML Lead will design intelligent systems integrating large language models, develop NLP solutions, and create recommendation engines for efficient decision-making in electronic trading.

The Research Engineer will develop large language models, conduct research on model architecture, optimize training infrastructure, and lead research projects.

Lead strategy and roadmap for Canary's AI Voice conversational platform, prioritize improvements based on accuracy and performance, engage enterprise hotel clients, define KPIs (resolution, accuracy, latency, containment), and align engineering, AI/ML, infrastructure, sales, and customer success for scalable, high-availability deployments.