Description
The Applied AI team at Datadog designs and builds algorithmically driven features in the Datadog app. As a Senior Applied Scientist, you will work on building models and algorithms for machine learning powered features within the Datadog platform.
Responsibilities:
- Design solutions for different use cases, researching and benchmarking relevant algorithms to find the best fit
- 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 the journal club, 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
- Participate in the team's on-call rotation
Requirements:
- BS/MS/PhD in Computer Science, Engineering, Machine Learning, or a related scientific field or equivalent experience
- Experience working with high-scale systems and datasets, including building models, applying machine learning to real business problems, and writing production data pipelines
- Ability to explain complex ideas and algorithms to non-technical audiences
- Care about code simplicity and performance
- Excitement to work on a user-facing product
Benefits:
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Opportunity to collaborate closely with colleagues across Datadog offices in New York City and Paris
- Opportunity to attend and present at conferences and meetups
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join Community Guilds (Datadog employee resource groups)