Top AI Research Jobs in NYC, NY

Drive applied AI research (LLM post-training, RL, agentic modeling) embedded with customers. Design experiments, prototype and scale training pipelines, run customer-facing evaluations, translate research into production via partnership with engineers, and build infrastructure for distributed training to deliver measurable business value.

Research and develop world-model based AI: self-supervised learning from video, predictive architectures, scalable data curation, evaluation benchmarks, and model-based planning algorithms. Design, run, and analyze experiments in large-scale accelerator environments.

The Engineering Manager for Research Tools will lead a team of experts to optimize systems for AI research, support collaboration with various teams, and drive effective processes for system efficiency and team growth.

The Director will lead and manage the firm's AI and data science initiatives, oversee a multidisciplinary team, and develop AI solutions that enhance operational efficiency and decision-making in legal contexts.

Lead AI sector diligence workstreams: conduct expert interviews, build quantitative and qualitative analysis, and produce investor-facing reports. Own end-to-end project execution, collaborate with a Sector Lead, and perform primary research with executives, customers, and domain experts to inform investment decisions.

General Intuition seeks curious, resourceful technical interns and new grads to work on large action and world models that perceive, predict, and act across virtual and physical environments. Roles are tailored to each candidate across Medal and General Intuition; there is no formal program or fixed job description.

The Applied AI Researcher will explore new AI system architectures, develop prototypes, analyze data, and redefine human-AI collaboration for enterprise applications.

Research and develop GPU-accelerated techniques for AI and financial workloads. Analyze and optimize performance on CPU/GPU architectures, collaborate with industry and academia, publish findings, and influence hardware and software design while supporting developer adoption.

The Head of AI Strategy defines and evolves Citi's AI strategy, aligning it with the firm's business objectives and overseeing AI initiatives and partnerships.

This role involves contributing to the development and advancement of agentic AI technologies in a collaborative environment.