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

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.

Lead product work to build agentic membership experiences within LLM channels: define user flows and requirements, partner with engineering and design, prepare Amex assets for LLM use, define success metrics, build dashboards, analyze customer needs, and coordinate cross-functional launch readiness including Legal, Compliance, Risk, and Privacy.

Design, implement, and productionize conversational AI models and pipelines to improve instruction following, retrieval, memory, and long-horizon task completion. Lead multi-quarter research and engineering initiatives, integrate models with platform and product teams, and translate ambiguous research ideas into measurable production milestones.

Design, build, and productionize LLM-based conversational and AI systems for enterprise coaching. Integrate structured and unstructured data, prototype end-to-end services, improve model behavior and observability, and collaborate with product and engineering to deploy scalable, reliable AI-driven coaching workflows.

Lead federal engagements to design compliant AI/NLP and RAG knowledge-management solutions. Develop integrations, influence product strategy, build relationships with agency leaders, support sales, and produce federal-focused technical materials.

Own the end-to-end customer-facing conversational agent across chat and voice. Set roadmap, drive conversation and interface design in Figma, prototype with AI coding tools, define agent behavior and quality metrics, partner with enterprise clients for requirements and launches, and iterate from production conversation data.

As an AI Engineer, you'll develop AI-powered systems that allow human-machine interaction through voice, focusing on data-driven insights and real-world audio processing.

As an Applied AI Researcher, design and maintain complex AI/NLP models for Verneek's platform, solving unique and impactful problems.

The Senior Machine Learning Engineer will develop, deploy, and optimize large language models on healthcare data, collaborate with teams, and ensure compliance.