AI Research Scientist - Datadog AI Research (DAIR)
Posted
$320,000 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 GroupsInclusive HiringWork-Life BalanceCollaborative SpaceMission-Driven
Requirements
Required: PhD in Computer Science, Machine Learning, or a related field, or equivalent experience
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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: $320,000 USD
Equity: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
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