The opportunity
The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection , error outliers and faulty deployment analysis .
What you'll do
Design solutions for our different use cases. You will research and benchmark: relevant algorithms to find the best fit for our use-cases
Leverage machine learning algorithms and statistical techniques to build new scalable product features
Develop, deploy and monitor new and existing features to production
Participate in our journal club by reading and presenting the latest academic research papers to the team
Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems
Maintain and monitor the models, services and infrastructure owned by your team
What they're looking for
- Participate in your team’s on-call rotation
- You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or: related scientific field or equivalent experience
- You have experience working with high-scale systems and datasets including: building models, applying machine learning to real business problems, and writing production data pipelines
- You can explain complex ideas and algorithms to non-technical audiences
