AI Research Scientist: Observability & Autonomous Agents

Datadog; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Datadog is looking for a Research Scientist to conduct advanced research in generative AI and machine learning. This role focuses on building specialized foundation models and trained agents for observability, collaborating closely with product and engineering teams to integrate research into real-world applications.

The ideal candidate will hold a PhD and have extensive experience in deep learning, distributed training frameworks, and impactful publications. Join Datadog to tackle high-risk challenges in cloud observability.

Qualifications

• You hold a 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 designing and implementing deep learning models.

Responsibilities

• Conduct research in generative AI and machine learning.
• Train multimodal models on large-scale telemetry data.
• Design and build simulated environments for RL training.

Skills

Deep expertise in generative modeling

Reinforcement learning

Distributed training frameworks

PyTorch

Education

PhD in Computer Science, Machine Learning, or related field

Tools

DeepSpeed

Megatron-LM

Job description

Datadog is looking for a Research Scientist to conduct advanced research in generative AI and machine learning. This role focuses on building specialized foundation models and trained agents for observability, collaborating closely with product and engineering teams to integrate research into real-world applications.

The ideal candidate will hold a PhD and have extensive experience in deep learning, distributed training frameworks, and impactful publications. Join Datadog to tackle high-risk challenges in cloud observability.