Research Manager - Foundation & World Models

Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security.

Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving.

Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems.

Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities.

You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience…

You have demonstrated the ability to lead technically ambitious research at meaningful scale, whether in an industry research lab, startup, academic environment…

You have extensive hands-on experience designing, training, or evaluating large-scale deep learning models (such as large language models)…

You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements.