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

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Design and implement Vercel's agentic interface and agent architecture to understand intent, plan workflows, select tools, recover from failures, and execute long-running tasks. Ship polished conversational and interactive experiences across Slack, web, and other surfaces. Build evaluation, observability, and feedback systems and primitives enabling teams to contribute consistent agent capabilities across the company.

Build and own conversational voice AI products end-to-end: architect, implement, and deploy the platform. Design infrastructure, develop front-end and back-end systems, deliver reliable customer outcomes, and collaborate directly with the CTO to scale the product for enterprise customers.

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.

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.

Build and deploy NLP and ML solutions for eDiscovery: prototype, validate, and implement LLM-based pipelines (RAG, semantic/hybrid search), create evaluation metrics and datasets, test emerging tech, and present results to technical and nontechnical stakeholders while supporting client deployments.

The role involves designing and implementing production-grade machine learning systems for conversational AI experiences, focusing on user engagement and context management.

As a Staff Research Engineer, you'll develop and optimize conversational AI models, lead research initiatives, mentor engineers, and integrate models into production systems.

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