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

Lead Datadog AI Research’s post-training and autonomous-agent research team. Set technical direction across reinforcement learning, simulated environments, synthetic data generation, evaluation, and agent training. Mentor researchers and research engineers while remaining hands-on in experimentation, model development, and technical problem-solving. Collaborate with Product and Engineering to commercialize research advances, contribute to publications and conferences, and open-source model artifacts and benchmarks.

Leads hands-on research in foundation models, world models, and multimodal learning for distributed-system telemetry. Owns research from problem framing through large-scale model training and evaluation, advances pre-training and representation learning, mentors researchers and engineers, sets technical direction, collaborates with product and engineering teams, and contributes to publications, conferences, open-source artifacts, and benchmarks.

Leads hands-on research in post-training and autonomous agents, including reinforcement learning, simulated environments, synthetic data, training loops, and evaluation. Owns research from problem framing through experimentation and model development, sets technical direction, mentors researchers, collaborates with product and engineering teams, and contributes to publications, conferences, open-source artifacts, and benchmarks.

Leads an eight-person anomaly detection engineering team, setting technical direction, owning roadmap execution, and delivering scalable signal-finding systems. Partners with product managers and applied scientists to evaluate detection quality. Builds and operates traditional machine learning and LLM systems in production, drives AI-native development practices, and establishes standards for safety, validation, ownership, and execution.

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.

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 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 product strategy and corporate development for AI initiatives at Datadog. Define AI product direction, evaluate market opportunities, partnerships, and M&A, collaborate with cross-functional teams, and support go-to-market and roadmap decisions to accelerate AI capabilities across the platform.