AI Research Scientist (Observability)

TL;DR

AI Research Scientist (Generative AI/Observability): Conducting fundamental research and building specialized foundation models and trained agents for cloud observability with an accent on multimodal world models and reinforcement learning. Focus on training agents for SRE incident response, designing RL training loops, and translating research advances into scalable products.

Location: Hybrid in Paris, France

Company

Datadog is a global SaaS company specializing in cloud observability and security, enabling digital transformation for organizations of all sizes.

What you will do

• Conduct research in Generative AI and ML to build specialized foundation models and trained agents for observability.
• Train multimodal models on large-scale telemetry data using distributed training infrastructure.
• Design and build simulated environments and RL training loops for on-policy agent training and evaluation.
• Collaborate with Product and Engineering teams to integrate AI capabilities into Datadog's products.
• Contribute to research publications and present at top-tier conferences such as NeurIPS, ICLR, and ICML.

Requirements

• PhD in Computer Science, Machine Learning, or a related field.
• Expertise in generative modeling, world models, AI agents, reinforcement learning, or multimodal learning.
• Extensive experience with PyTorch and distributed training frameworks like DeepSpeed or Megatron-LM.
• Proven track record of impactful publications at top-tier AI venues.
• Ability to communicate complex research findings to both technical and non-technical audiences.

Nice to have

• Experience bridging research and real-world product applications with foundation models or RL agents.
• Experience writing production data pipelines and applications.
• Hands-on experience with GPU programming and CUDA optimization.

Culture & Benefits

• Competitive global benefits, new hire stock equity (RSUs), and employee stock purchase plan (ESPP).
• Opportunities to attend and present at major industry conferences and meetups.
• Internal mentor and buddy programs for professional networking.
• Inclusive company culture with access to Community Guilds.
• Collaboration opportunities with teams across New York City and Paris offices.