Applied Science Intern

🏢 Datadog · 📍 Paris, France · 💼 hybrid

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Position Summary & Responsibilities

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach
Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques
Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure
Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems
Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products
Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features

Who You Are:

You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field
You have experience building machine learning models through coursework, research, internships, or personal projects
You have strong programming skills and are eager to learn new languages and technologies
You communicate complex technical concepts clearly to both technical and non-technical audiences
You have a strong interest in artificial intelligence, machine learning, and data-driven product development
Available to complete a 6-month internship beginn

🎯 Candidate Preparation Guide For Datadog Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Datadog evaluates candidates most strictly on radical ownership, extreme scalability mindset, and data-driven operational transparency across distributed systems.

📋 Preparation Priorities (Key Areas to Clarify):

1. Blaming other teams, tools, or dependencies rather than taking end-to-end accountability for a system failure.
2. Focusing purely on feature delivery speed without demonstrating an understanding of production monitoring and system health.
3. Lacking hands-on architectural experience with massive scale, high-throughput cloud environments.

✨ Recommended Role Alignment Hook:

I thrive at the intersection of hyper-scale engineering and rigorous observability, having spent my career ensuring complex distributed systems are not just fast, but completely transparent and resilient.

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