Applied Science Intern

Datadog

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Employment
Intern
Posted
2 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $177k
$92k most similar roles pay here $262k

This listing doesn't post a salary. Most similar roles pay $108,750–$245,900.

Based on 240 similar postings.

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About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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At a glance

TL;DR · Applied Science Intern

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists to build AI-powered features within the Datadog platform. You will be responsible for designing solutions for AI use cases by researching and benchmarking state-of-the-art models, building scalable product features using generative AI, machine learning algorithms, and statistical techniques, and contributing to the deployment and maintenance of production AI models and infrastructure. Your daily work involves analyzing large-scale observability data to derive insights and presenting academic research on emerging model architectures. To succeed in this role, you must possess strong programming skills and the ability to communicate complex technical concepts clearly. The core focus of your work is solving problems related to observability data and integrating advanced machine learning capabilities into customer-facing products within a high-scale production environment.

What you'll do

  • Research and benchmark state-of-the-art models to design solutions for specific AI use cases.
  • Build scalable product features using generative AI, machine learning algorithms, and statistical techniques.
  • Develop, deploy, monitor, and maintain production AI models and infrastructure.
  • Analyze large-scale observability data to derive actionable insights for the platform.
  • Present academic research and investigate emerging model architectures to improve existing products.
  • Productionize AI solutions in collaboration with engineering and product teams to deliver customer-facing features.

What we're looking for

  • Must 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 an eagerness to learn new languages and technologies.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • A strong interest in artificial intelligence, machine learning, and data-driven product development.
  • Availability to complete a 6-month internship starting between February and June 2027.

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