AI Research Scientist: Multimodal World Models

Datadog

New York (NY)

On-site

USD 320,000 - 400,000

Full time

14 days+

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Benefits offered by this job

Competitive benefits
RSUs & ESPP
Office in NYC & Paris
Conference opportunities
Mentor program
Employee resource groups

Job summary

Datadog researches foundational AI for observability, partnering with research engineers to translate breakthroughs into products.

You will advance multimodal world models and autonomous agents, trainer pipelines on large telemetry data, and collaborate with Product and Engineering to integrate capabilities into Datadog's suite.

The role emphasizes publishing at leading venues and contributing to open-source artifacts while benefiting from Datadog's global growth and inclusive culture.

Qualifications

  • PhD in CS, ML, or related field with expertise in generative modeling and RL.
  • Experience with distributed training frameworks and ML libraries.
  • Strong publication record in NeurIPS/ICML/ICLR.

Responsibilities

  • Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
  • Train multimodal models on large-scale telemetry data using distributed training infrastructure
  • Collaborate with cross-functional teams to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products

Skills

PhD in CS/ML
Deep learning models
Multimodal learning
Reinforcement learning
Distributed training
PyTorch
Publications in top venues

Education

PhD in Computer Science / Machine Learning

Tools

DeepSpeed
Megatron-LM
CUDA
PyTorch

Job description

Datadog researches foundational AI for observability, partnering with research engineers to translate breakthroughs into products.

You will advance multimodal world models and autonomous agents, trainer pipelines on large telemetry data, and collaborate with Product and Engineering to integrate capabilities into Datadog's suite.

The role emphasizes publishing at leading venues and contributing to open-source artifacts while benefiting from Datadog's global growth and inclusive culture.

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