AI Research Scientist - Datadog AI Research (DAIR)
Posted
$140,000 USD
Tech Stack
Responsibilities
- Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability.
- Train multimodal models on large-scale, diverse telemetry data using distributed training infrastructure.
- Design and build simulated environments and RL training loops for on-policy agent training and evaluation.
- Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products.
- Contribute to research publications, present at top-tier conferences, and help open-source key model artifacts and benchmarks.
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
- Learning Budget
Culture
Cross-Functional TeamsInternal MobilityMentorship ProgramTech TalksErg/Affinity Groups
Requirements
Required: PhD in Computer Science, Machine Learning, or a related field, or equivalent experience
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About Datadog
Industry: observability
Size: enterprise
Datadog is a leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale, using AI to detect and resolve issues.
View company profile →Compensation
Base salary: $140,000 USD
Equity: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)