19 hours ago
Paris, FranceIntern
Responsibilities
- Research and benchmark state-of-the-art models for AI use cases.
- Build scalable product features using generative AI, machine learning algorithms, and statistical techniques.
- Develop, deploy, monitor, and maintain production AI models, services, and infrastructure.
- Explore and analyze large-scale observability data to derive product insights.
- Present academic research and investigate emerging model architectures.
- Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features.
Requirements
- Graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field.
- Experience building machine learning models through coursework, research, internships, or personal projects.
- Strong programming skills and willingness to learn new languages and technologies.
- Ability to communicate complex technical concepts to technical and non-technical audiences.
- Strong interest in artificial intelligence, machine learning, and data-driven product development.
- Availability for a six-month internship beginning in February, March, April, May, or June 2027.
Benefits
- Hybrid workplace and in-person intern cohort.
- Mentorship and buddy programs.
- Company social events, Community Guilds, and employee resource groups.
- Relocation support and travel benefits where applicable.
- Office snacks, drinks, and catered lunches on Monday, Wednesday, and Friday.
Tech Stack
Datadog
Categories
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.