AI Research Scientist - Datadog AI Research (DAIR)

Datadog AI Research is seeking a Research Scientist to work on World Models for Observability and Trained Agents for Observability. The role involves training multimodal foundation models and RL agents for incident response, and collaborating with product teams to integrate AI capabilities into Datadog's products.

• Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
• Train multimodal models on large-scale telemetry data using distributed training infrastructure
• Design and build simulated environments and RL training loops for on-policy agent training and evaluation
• Collaborate with cross-functional teams to integrate capabilities into Datadog's products
• Contribute to research publications and present at top-tier conferences

• PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
• Deep expertise in generative modeling, world models, AI agents, reinforcement learning, or multimodal learning
• Experience designing and implementing deep learning models and agents with distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and PyTorch
• Track record of publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)