Applied Science Intern

The shape of it

In the posting’s own words

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.

What it asks for · 6

• 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 beginning in February, March, April, May, or June 2027 (we are unable to accommodate internships starting at any other time)

What the job covers

• 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

Degree language

• You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field

Tools and skills named

Words the posting leans on

• product7×
• machine learning5×
• models5×
• features4×
• research4×
• contribute3×
• experience3×
• internships3×
• technical3×
• applied2×
• bring2×
• build2×
• building2×
• collaboration2×
• customer-facing features2×
• development2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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