Top AI & Machine Learning Jobs in New York City, NY

Lead a team in developing AI and ML models focusing on detection and text intelligence. Collaborate with product managers and support team development for impactful AI features.

The Staff Applied Scientist will lead the evaluation strategy for AI agent integrations at Datadog, defining metrics and building datasets for quality improvements in agent performance through applied research and technical leadership.

The Distinguished Architect will provide technical leadership in AI, guide infrastructure discussions, and collaborate with stakeholders on AI observability solutions, requiring extensive experience and strategic thinking.

Lead multiple engineering and applied science teams to define technical vision, ship end-to-end AI/ML products, and ensure operational excellence. Drive model training, data pipelines, evaluation, deployment, and production operations while partnering with Product, hiring and developing talent, and building quality and evaluation practices for AI systems.

As an AI Research Engineer, you will develop systems for research ideas, build datasets, implement models, and collaborate on AI capabilities with various teams.

Lead the design and development of Datadog's experimentation engine, translating complex statistical methods into production systems while collaborating with cross-functional teams and educating stakeholders on best practices.

The AI Researcher will conduct advanced research in Generative AI and Machine Learning, develop specialized models for observability and code repair, and collaborate with product teams to integrate findings into Datadog's offerings.

Lead the development of AI-powered features for application performance monitoring, focusing on debugging, optimization, and integration with Datadog's platform.

As a Senior Developer Advocate, you will lead community engagement in Data Observability, create content, mentor teams, and enhance product feedback from engineers.

As a Staff Engineer, you will design systems for cloud cost optimization, lead technical initiatives, and collaborate with finance and engineering teams.