AI Research Scientist - Datadog AI Research (DAIR)
Datadog · Dev Eng
- Location
- Paris, France
- Metro
- Paris
- Workplace
- Unspecified
- Level
- Unspecified
- Type
- Unspecified
- Posted
- 18 months ago
- Source
- Greenhouse
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What the posting covers
About the company
As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record…
What You'll Do
Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed…
Who You Are
You 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 (or have equivalent experience) You have extensive…
Bonus Points (any of the following)
Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment Experience writing…
Benefits and Growth
Competitive global benefits New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris Opportunity to attend and present at conferences and…
About Datadog
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure…
About Datadog
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one…
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