AI Research Scientist - Datadog AI Research (DAIR)

At Datadog, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.

<p>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.</p>

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<p>Building on our track record of AI-powered solutions (e.g., <a href="https://www.datadoghq.com/blog/bits-ai-sre/">Bits AI</a>, <a href="https://www.datadoghq.com/blog/engineering/self-optimizing-system/">Bits Evolve</a>, and our <a href="https://www.datadoghq.com/blog/ai/toto-boom-unleashed/">time series foundation model</a>), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.</p>

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<p>We are focused on two research areas:</p>

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<li><strong>World Models for Observability</strong> -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.</li>

<li><strong>Trained Agents for Observability </strong>-- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.</li>

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<p><strong>What You'll Do:</strong></p>

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