
The cloud monitoring platform engineers love
Datadog (NYSE: DDOG) is a leading cloud observability platform that provides monitoring and analytics for applications, infrastructure, and logs. Trusted by over 26,000 customers including major companies like Netflix, Samsung, and Airbnb, Datadog is headquartered in New York City. The company went ...
Datadog offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy. Employees also benefit from a learning ...
Datadog fosters an engineering-first culture, with 70% of its workforce comprising engineers. The company emphasizes a strong focus on solving complex...

Datadog • Paris, France
Datadog is seeking an AI Research Scientist to conduct cutting-edge research in Generative AI and Machine Learning. You'll collaborate with engineering teams to develop advanced models for observability and site reliability. This role requires expertise in machine learning and programming skills in Python.
You have a strong background in AI and machine learning, with experience in conducting research that translates into practical applications. You are comfortable working with large-scale distributed training infrastructure and have a passion for solving real-world challenges in cloud observability and security. Your expertise in Generative AI and foundational models positions you as a key contributor to innovative projects. You thrive in collaborative environments, partnering with engineers and product teams to bring research advancements to life. You are detail-oriented and have a track record of tackling high-risk, high-reward projects. You are eager to push the boundaries of AI technology and contribute to the development of autonomous agents and production code repair solutions.
As an AI Research Scientist at Datadog, you will lead research initiatives focused on developing state-of-the-art models for advanced forecasting, anomaly detection, and multi-modal telemetry analysis. You will work closely with research engineers to create AI agents capable of automatically detecting and resolving incidents in production environments. Your role will involve leveraging your knowledge of machine learning to build specialized foundation models that enhance observability and site reliability engineering. You will also be responsible for developing agents that utilize code, logs, and runtime data to identify and preempt performance issues and security vulnerabilities. Your contributions will directly impact the effectiveness of Datadog's AI-powered solutions, ensuring they meet the needs of customers in a rapidly evolving technological landscape. You will collaborate with cross-functional teams to translate research findings into actionable insights and products, driving innovation within the organization.
Datadog provides a dynamic work environment where you can engage in meaningful research that shapes the future of cloud observability and security. You will have access to cutting-edge tools and resources to support your research endeavors. The company values collaboration and encourages you to share your insights and findings with your peers. Datadog is committed to fostering a culture of innovation and continuous learning, providing opportunities for professional growth and development. You will be part of a team that is dedicated to pushing the boundaries of AI technology and making a significant impact in the industry.
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