AI Research Scientist – Datadog AI Research (DAIR)

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
• 2
  Train multimodal models on large-scale, diverse telemetry data using distributed training infrastructure
• 3
  Design and build simulated environments and RL training loops for on-policy agent training and evaluation
• 4
  Collaborate with cross-functional teams to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
• 5
  Stay at the forefront of foundation models, world models, and RL-based agent research
• 6
  Contribute to research publications, present at top-tier conferences, and help open-source key model artifacts and benchmarks

RequirementsAI-extracted

• Hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning
• Have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks and ML libraries
• Have a track record of impactful publications at top-tier venues
• Be familiar with efficient training, post-training, and inference techniques for large foundation models
• Be able to explain complex models and research findings to both technical and non-technical audiences

Perks & BenefitsAI-extracted