Research Manager: Foundation & World Models

Datadog, Inc.

Paris

Hybrid

EUR 120,000 - 190,000

Full time

8 days ago
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Benefits offered by this job

RSUs
ESPP
Professional development
Mentor program
Inclusion Talks
Community Guilds

Job summary

Datadog is seeking a Research Manager in Paris to lead a team focused on foundation models and world models. You will drive large-scale pre-training and multimodal learning using telemetry signals from distributed systems, while guiding research direction and mentoring researchers and engineers.

The role blends hands-on research with strategic leadership, collaborating with product and engineering teams to translate advances into scalable Datadog capabilities. Hybrid work is supported.

Qualifications

  • PhD in Computer Science, Machine Learning, or related field or equivalent experience.
  • Proven ability to lead technically ambitious research at scale.
  • Hands-on experience designing/training large-scale deep learning models (e.g., LLMs).

Responsibilities

  • Lead research in foundation models and multimodal learning, setting technical direction for ambitious programs.
  • Mentor researchers and research engineers while shaping strategy and experimentation.
  • Train large-scale multimodal models on telemetry data (metrics, logs, traces, topology, events).
  • Advance pre-training, representation learning, world modeling, scaling, and evaluation.
  • Collaborate with cross-functional teams to translate research into Datadog capabilities.
  • Contribute to publications and open-source model artifacts and benchmarks.

Skills

Research leadership
Mentoring
Hands-on DL
Multimodal learning
Foundation models

Education

PhD in CS / ML or related

Job description

Datadog is seeking a Research Manager in Paris to lead a team focused on foundation models and world models. You will drive large-scale pre-training and multimodal learning using telemetry signals from distributed systems, while guiding research direction and mentoring researchers and engineers.

The role blends hands-on research with strategic leadership, collaborating with product and engineering teams to translate advances into scalable Datadog capabilities. Hybrid work is supported.

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