AI & ML Product Intern (Applied Science)

Datadog; Paris; Hybrid; EUR 16,000 - 20,000; Full time

Benefits offered by this job

Relocation support

Travel benefits

Snacks and meals

Job summary

Datadog offers an Applied Science Internship in Paris, focused on AI-powered features within the Datadog platform. You will design, build, deploy, and monitor ML models, applying research to production and collaborating with cross-functional teams.

The internship emphasizes hands-on experience with scalable AI systems, mentorship, and opportunities to contribute to cutting-edge research shaping customer-facing features.

Qualifications

• Graduating in 2027 with a degree in ML, AI, statistics, CS, or related field.
• Experience building ML models through coursework, research, internships, or projects.
• Strong programming skills and willingness to learn new languages/tech.
• Able to communicate complex concepts to technical and non-technical audiences.
• Interest in AI, ML, and data-driven product development.
• Available for a 6-month internship starting Feb–Jun 2027.

Responsibilities

• Design AI use-case solutions by benchmarking state-of-the-art models.
• Build scalable features using generative AI and ML.
• Develop, deploy, monitor production AI models and infrastructure.
• Analyze large-scale observability data within Datadog systems.
• Share knowledge by presenting recent research and model architectures.
• Collaborate with engineering and product teams to productionize AI solutions.

Skills

Programming skills

Machine learning knowledge

Communication skills

Team collaboration

Education

Bachelor's/Master's in ML/AI/CS

Tools

Python

ML frameworks (TensorFlow/PyTorch)

Job description

Datadog offers an Applied Science Internship in Paris, focused on AI-powered features within the Datadog platform. You will design, build, deploy, and monitor ML models, applying research to production and collaborating with cross-functional teams.

The internship emphasizes hands-on experience with scalable AI systems, mentorship, and opportunities to contribute to cutting-edge research shaping customer-facing features.