Top AI Research Jobs in NYC, NY

The Research Scientist will design methods and experiments for AI control and monitoring, focusing on safety and robustness in advanced AI systems. Key tasks include developing monitoring techniques, researching layered control mechanisms, and collaborating with policymakers and industry experts.

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

Deeptune is hiring for various roles related to AI and reinforcement learning in a growing team. Candidates should show a proven track record of building impactful projects.

The AI Use Case Review Lead evaluates and oversees AI initiatives, ensuring alignment with business objectives and regulatory compliance. The role includes engaging stakeholders, assessing risks, and maintaining review frameworks for successful AI project execution.

As an AI Research Engineer, you'll conduct research in AI and automated reasoning, creating innovative solutions, testing systems, and contributing to scientific publications while collaborating with engineering teams.

The Senior Scientist will lead the design and development of innovative clinical workflows for heart disease diagnosis, integrating existing technologies while pioneering advancements in cardiac vascular imaging and collaborating on strategic research projects.

Lead end-to-end technical research into how AI models perceive and rank brands. Build and own research stack, design experiments, produce clean datasets and actionable insights, author credible content with Editorial, create scalable research playbooks, and partner with Product and Engineering on platform performance.

The role involves leading research in information retrieval and AI, developing innovative techniques for large language models, and ensuring customer success by applying cutting-edge AI systems.

The AI Services Consultant develops and positions AI consulting services, collaborates across teams, and manages client engagements to unlock AI potential and drive value through structured proposals and delivery.

The AI Product Manager will train staff on AI tools, manage AI deployment projects, drive AI adoption across departments, and ensure compliance with AI governance.