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Research Manager - Foundation & World Models

Datadog· Research
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ParisFull-timePosted 3w ago

About the role

Lead a team in Datadog AI Research (DAIR) focused on foundation models and world models, guiding technical direction, mentoring researchers, and translating research into scalable Datadog capabilities, with a hands-on research identity.

Responsibilities

  • 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
  • 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
  • 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

Qualifications

  • PhD in Computer Science, Machine Learning, or a related field, or equivalent experience
  • deep expertise in foundation models, world models, multimodal learning, or generative modeling
  • experience leading technically ambitious research at meaningful scale
  • hands-on experience designing, training, or evaluating large-scale deep learning models (e.g., large language models)
  • experience with multimodal or non-text data is a strong plus
  • track record of research impact through publications, model or system contributions, or widely used artifacts
  • senior technical leadership experience with mentoring and developing teams while remaining hands-on

Skills

Required:PhD or equivalent in ML/CSFoundation modelsLarge-scale DL model training/evaluation

Benefits

  • High income earning opportunities based on individual performance
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Sales training in MEDDIC and Command of the Message
  • Intradepartmental mentor and buddy program for in-house networking
  • Inclusive company culture, Community Guilds
  • Inclusion Talks and internal panel discussions
  • Free, global Spring Health benefits for employees and dependents age 6+
  • Competitive global benefits
  • Giving programs
Last updated Oct 22, 2026. Interested? Apply on the company site.

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