AI Research Scientist - Datadog AI Research (DAIR)
As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve ,
What this role actually needs.
As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products. Building on our track record of AI-powered solutions (e.g., Bits AI , Bits Evolve , 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 (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 products - Stay at the forefront of foundation models, world models, and RL-based agent research - Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks Requirements: - Competitive global benefits - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Opportunity to collaborate closely with colleagues across the 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 our Community Guilds (Datadog employee resource groups) Benefits: - Competitive global benefits - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Opportunity to collaborate closely with colleagues across the 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 our Community Guilds (Datadog employee resource groups) Company context: Datadog operates a cloud observability and security platform with meaningful hiring across infrastructure, security, AI, and developer tooling.
Day-to-day expectations
Datadog lists these responsibilities for the AI Research Scientist - Datadog AI Research (DAIR) role.
- 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 products
- Stay at the forefront of foundation models, world models, and RL-based agent research
- Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Opportunity to collaborate closely with colleagues across the 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 our Community Guilds (Datadog employee resource groups)
Why people would want this job
Datadog published these compensation, benefits, or working-context details with the role.
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Opportunity to collaborate closely with colleagues across the 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 our Community Guilds (Datadog employee resource groups)
Why this listing is more than a copied job post.
AI Research Scientist - Datadog AI Research (DAIR) is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
Work authorization read
Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to ai research scientist - datadog ai research (dair) is a high-signal on-site role in new york city, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from careers.datadoghq.com, confirm the role is still active, then apply on the employer or ATS page.
Source: careers.datadoghq.com Β· Source ID: 6572669 Β· Confidence: 93/100 Β· Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs