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

Leads an AI-native engineering team developing production LLM and agent software for code intelligence. Owns strategy and execution across source code indexing, pull-request agents, code-writing agents, and closed-loop evaluation systems. Sets technical direction, partners with customers and product teams, and establishes standards for safety, validation, agent autonomy, and product delivery.

Conduct an end-to-end AI research project with Datadog AI Research and Carnegie Mellon University. The intern will frame problems, train and evaluate models using GPUs and large-scale data, run experiments, collaborate with DAIR mentors and a faculty advisor, publish findings, and potentially transition successful research into production systems.

Design, research, and benchmark machine learning algorithms for anomaly detection, error outlier analysis, and faulty deployment analysis. Build, deploy, scale, and monitor user-facing ML features, models, services, and infrastructure in production. Analyze high-volume streaming data, communicate complex algorithms to nontechnical audiences, participate in research journal discussions, maintain team-owned systems, and join the on-call rotation while partnering with engineering and product teams.

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 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.

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.

Lead evaluation strategy for Datadog Dashboards' AI-native system: define metrics, build eval datasets and regression harnesses, measure retrieval and tool-selection, reduce cost/latency, and provide technical leadership and cross-team mentorship to ensure production-quality agent behavior at scale.

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.

The People Systems Developer designs and implements AI-native workflows for HR processes, focusing on talent acquisition and performance improvement through automation and integration of systems.

Lead GenAI/ML engineering projects within the APM team, focusing on model deployment, cross-team collaboration, and technical leadership.