Staff Research Scientist - Foundation & World Models

• 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 complex distributed systems
• Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor
• Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities
• Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks
• You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling
• You have driven technically ambitious research at meaningful scale as an individual contributor, whether in an industry research lab, startup, academic environment, or another research setting
• You have extensive hands-on experience designing, training, and evaluating large-scale deep learning models (such as large language models), with experience in multimodal or non-text data considered a strong plus
• You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements
• You set technical direction through influence rather than authority, and you have mentored other researchers or engineers and elevated the quality of work around you
• You want to stay deeply hands-on in research for the long term, and you can communicate complex research findings effectively across technical and non-technical audiences
• Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
• Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

None flagged.