Ai Research Scientist – Datadog Ai Research (dair)

Datadog

New York, United States
Base: $140,000 - $400,000 usd; bonus/equity: not s...
On-site
Generative ai and machine learning research
Multimodal foundation models
Trained agents for observability
Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability

Job Summary

  • Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability.
  • Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products.
  • Datadog offers competitive global benefits, new hire stock equity, and an opportunity to collaborate closely with colleagues across offices in New York City and Paris.

Matching Summary

Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability.

Salary

Base: $140,000 - $400,000 USD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Generative AI and machine learning research
  • Multimodal foundation models
  • Trained agents for observability
  • Distributed training infrastructure
  • Simulated environments and RL training loops
  • Foundation models, world models, and RL research

Nice-to-have

  • Bridging research and product applications
  • Customer impact and scalable deployment
  • Production data pipelines and applications
  • GPU programming and optimization

Key Requirements

  • PhD in Computer Science, Machine Learning, or related field
  • Deep expertise in generative modeling, world models, AI agents, RL, or multimodal learning
  • Extensive experience designing and implementing deep learning models and agents
  • Strong background in distributed training frameworks (DeepSpeed, Megatron-LM)
  • Strong background in ML libraries (PyTorch)
  • Track record of impactful publications at top-tier venues
  • Familiar with efficient training, post-training, and inference techniques for large foundation models

Work Rights

Not specified

Tailored Resume

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