Jobs/New York City/AI Research Engineer – Datadog AI Research (DAIR)
New York City, New York, United States

AI Research Engineer – Datadog AI Research (DAIR)

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production.   Building on our track record of AI-powered

Company
Datadog
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

AI Research Engineer – Datadog AI Research (DAIR) at Datadog in New York City. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production.   Building on our track record of AI-powered

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling
  • Implement models, run experiments at scale, and profile for reliability, performance, and cost
  • Build simulation environments and replay infrastructure for agent training and evaluation
  • Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery
  • Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity
  • Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services
Requirements

What a strong candidate brings

This keeps the job page specific, readable, and easier to match.

  • 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

Why people would want this job

Benefits help searchers understand whether the role is a real fit before they apply.

  • 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)
Subscriber playbook

Turn this listing into an application plan.

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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 engineer – 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

Artificial IntelligenceOn-siteaillmmachine-learningresearch

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.
SEO context

Search intent signals for this listing

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AI Research Engineer – Datadog AI Research (DAIR)DatadogNew York CityUSArtificial Intelligenceaillmmachine-learningresearchpythonsecurityplatformobservabilityapicloud
Next step

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