AI Research Scientist - Datadog AI Research (DAIR)

DataDog
New York
Workplace: OnsiteFull timeUSD 140,000 - 400,000Function: Data Science & Machine LearningEducation: phdSkills: ["Communication","Teaching","Leadership"]

Research scientist collaborating with research engineers to pursue fundamental AI/ML research in observability, cloud security, and production reliability. Work on building foundation models for forecasting and anomaly detection, AI agents for SRE incidents, and production code repair. Leverage distributed training, publish findings at top venues, and partner with Product/Engineering to translate research into tangible Datadog customer benefits.

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DataDog
DataDog
1 year ago

AI Research Scientist - Datadog AI Research (DAIR)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Research scientist collaborating with research engineers to pursue fundamental AI/ML research in observability, cloud security, and production reliability. Work on building foundation models for forecasting and anomaly detection, AI agents for SRE incidents, and production code repair. Leverage distributed training, publish findings at top venues, and partner with Product/Engineering to translate research into tangible Datadog customer benefits.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Conduct cutting-edge research in Generative AI and Machine Learning to build Foundation Models and AI Agents for observability, SRE, and code repair
  • •Leverage large-scale distributed training infrastructure to pre-train and post-train state-of-the-art models on real-world telemetry data
  • •Build simulated environments to facilitate on-policy agent training and evaluation
  • •Lead and contribute to research publications and help open-source model artifacts and benchmarks
  • •Collaborate with cross-functional teams to integrate AI capabilities into Datadog’s product ecosystem

Pay and Benefits

Salary: USD 140,000 - 400,000
Perks:Health InsuranceDental401kPaid LeaveGym MembershipEquity

Key Requirements

  • •PhD in Computer Science, Machine Learning, or a related field
  • •Extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch, TensorFlow)
  • •Proven track record of impactful research with publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
  • •Familiarity with efficient training, post-training, fine-tuning, and inference techniques for large foundation models
  • •Ability to explain complex models and research findings to both technical and non-technical audiences
Experience:AI researchCloud observabilitySRESecurity
Education:PhD / Doctorate
Skills:CommunicationTeachingLeadership
Languages:English
Tech Stack:PyTorchTensorFlowDeepSpeedMegatron-LMCUDA

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn