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.
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
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)
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.
Work on meaningful technical challenges alongside engineers across the globe
Participate in mentorship and buddy programs designed to support learning and development
Join an in-person intern cohort, attend company social events, and engage with Datadog Community Guilds and employee resource groups throughout the internship
Receive relocation support and travel benefits where applicable
Enjoy office perks including snacks, drinks, and catered lunches on Monday, Wednesday, and Friday
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
Please ensure that you submit your CV/resume in English. If possible, please apply using your personal email address instead of your university email address.
Students can sign up for a free Datadog Pro account to learn more about our platform and products.
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Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesse
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
