Job brief: AI Research Scientist - Datadog AI Research (DAIR)

What JoRoute checked · Checked by JoRoute

• Listed on Datadog's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (3 days ago); last confirmed on the board 2026-11-07.
• The apply link opens careers.datadoghq.com, the address Datadog's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $320,000 to $400,000 a year
• Job type: Not stated
• Where: New York, New York, USA; Pittsburgh, Pennsylvania, USA · New York
• Posted: 2025-01-24 · over 60 days ago

What the job asks · Employer's own words, not checked

Level: Not stated. The posting does not state a level or years of experience.

Main duties

• 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 (metrics, logs, traces, topology, events) 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 …
• Stay at the forefront of foundation models, world models, and RL-based agent research

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Across Datadog's 218 open listings, 52% of those with a posting date were first posted more than 60 days ago. How Datadog hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

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1. Is this role still open, and when do you hope to fill it?
2. Which of the listed places is this role based in?
3. What are the interview steps, and when should I expect to hear back?

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