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AI Research Scientist - Datadog AI Research (DAIR)

Datadog· Datadog AI Research (DAIR)
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Parisfull-timePosted 6mo ago

About the role

Research Scientist role focusing on generative AI, world models, and autonomous agents for observability. Collaborates with Product and Engineering to translate research into Datadog products, with opportunities to publish and open-source artifacts.

Responsibilities

  • Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
  • Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
  • Design and build simulated environments and RL training loops for on-policy agent training and evaluation
  • Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
  • Stay at the forefront of foundation models, world models, and RL-based agent research
  • Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • Deep expertise in generative modeling, world models, AI agents, reinforcement learning, or multimodal learning
  • Experience designing and implementing deep learning models and agents
  • Strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
  • Track record of publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
  • Familiarity with efficient training, post-training, and inference techniques for large foundation models
  • Ability to explain complex models and research findings to technical and non-technical audiences

Skills

Required:PhD in Computer Science, ML, or related fieldDistributed training with DeepSpeed/Megatron-LMPyTorchResearch publication track record

Benefits

  • Competitive global benefits
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Opportunity to collaborate with colleagues across Datadog offices in New York City and Paris
  • Opportunity to attend and present at conferences and meetups
  • Intra-departmental mentor and buddy program for in-house networking
  • Inclusive culture and ability to join Datadog Community Guilds (ERGs)
Last updated Oct 22, 2026. Interested? Apply on the company site.

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