Tech Stack
Responsibilities
- Design solutions and research relevant algorithms for streaming data use cases
- Leverage machine learning algorithms and statistical techniques to build scalable features
- Develop, deploy, and monitor new and existing features to production
- Participate in the team's journal club by reading and presenting academic research
- Maintain and monitor the models, services, and infrastructure owned by the team, including on-call rotation
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
Culture
Hybrid WorkOn-Call RotationTech TalksErg/Affinity GroupsMentorship Program
Requirements
Required: BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience
Regions: Us
Get jobs like this in your inbox
Weekly Rust, TypeScript hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get job market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Datadog
Industry: saas
Size: large
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.
View company profile →Compensation
Base salary: $220,000 USD
Equity: RSUs
Similar Jobs
Staff Applied Scientist - Dashboards
Datadog · New York, New York, USA
$276k
Staff Applied Scientist - Agentic Interfaces
Datadog · New York, New York, USA
$276k
AI Research Scientist - Datadog AI Research (DAIR)
Datadog · New York, New York, USA; Pittsburgh, Pennsylvania, USA
$320k
Senior Developer Advocate - Modern App Development
Datadog · California, USA, Remote; Nevada, USA, Remote; Texas, USA, Remote; Washington, USA, Remote
Remote
$172k
Senior Services Architect, Security-Cloud SIEM
Datadog · New York, New York, USA
$154k