Staff Research Scientist - Foundation & World Models

Seoulstart; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Datadog's DAIR team in New York is seeking a Staff Research Scientist to lead research on foundation models and world models, applying multimodal learning to telemetry data across metrics, traces, logs, topology, and events. You will shape the technical direction of ambitious research programs and work hands-on to push the boundaries of scalable AI.

You will own research problems end to end—from framing questions to experimentation, model development, and evaluation—and collaborate with product

Job description

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: • Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability • Own research problems end to end, from framing the question through experimentation, model development, and evaluation • Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities • Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of...