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AI Research Engineer - Datadog AI Research (DAIR)

Datadog· Datadog AI Research (DAIR)
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Hybrid (Paris, France)not specified in descriptionPosted 6mo ago

About the role

Research Engineer role focused on turning research ideas into working systems for multimodal data, training/inference infrastructure, and autonomous agents within Datadog’s AI Research initiatives in cloud observability and security.

Responsibilities

  • Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling
  • Implement models, run experiments at scale, and profile for reliability, performance, and cost
  • Build simulation environments and replay infrastructure for agent training and evaluation
  • Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery
  • Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity
  • Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services
  • Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts

Qualifications

  • Depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus
  • Proficiency in Python; familiar with a systems language (e.g., Rust, C++, or Go); comfortable with modern cloud and data infrastructure
  • Practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration
  • Experience with large-scale model training and fine-tuning, including Megatron-LM, DeepSpeed, SkyRL, VeRL, or TorchTitan; techniques such as SFT, RLVR, RLHF, and efficient inference (quantization, speculative decoding)
  • Ability to explain design and performance trade-offs to technical and non-technical audiences
  • Experience supporting or contributing to research publications

Skills

Required:Distributed computingPythonSystems languageML frameworksLarge-scale model training

Benefits

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

About Datadog

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