AI Research Scientist – Datadog AI Research (DAIR) jobs in United States
cer-icon
Apply on Employer Site
company-logo

Datadog · 5 months ago

AI Research Scientist – Datadog AI Research (DAIR)

Datadog is a global SaaS business focused on enabling digital transformation and infrastructure monitoring. They are seeking an AI Research Scientist to conduct research in Generative AI and Machine Learning, develop advanced models and AI agents, and collaborate with cross-functional teams to integrate AI capabilities into their products.

AnalyticsCloud ComputingCloud Data ServicesCloud InfrastructureData ManagementDevOpsProductivity ToolsSaaS
check
H1B Sponsor Likelynote

Responsibilities

Conduct cutting-edge research in Generative AI and Machine Learning, aiming to build specialized Foundation Models and AI Agents for observability, site reliability engineering, and code repair
Leverage large-scale distributed training infrastructure to pre-train and post-train state-of-the-art models on diverse, real-world telemetry data
Build simulated environments to facilitate on-policy agentic training and evaluation
Lead and contribute to research publications, present findings at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks
Collaborate with cross-functional teams (e.g., Product, Engineering) to integrate advanced AI capabilities – like multi-modal analysis or automated incident resolution planning – into Datadog’s product ecosystem
Stay at the forefront of LLMs, Foundation Models, and Generative AI research and engage with the external research community
Foster a culture of scientific rigor, innovation, and practical impact, e.g., by actively participating in reading groups and mentoring interns

Qualification

Generative AIMachine LearningDeep LearningDistributed TrainingNatural Language ProcessingReinforcement LearningPyTorchTensorFlowOpen-source ContributionsResearch PublicationsGPU ProgrammingProduction Data PipelinesTechnical Communication

Required

You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, AI agents, reinforcement learning, or natural language processing (or have equivalent experience)
You possess extensive experience in designing and implementing deep learning models and agents, and have a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch, TensorFlow)
You have a proven track record of conducting impactful research in the field with publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
You're familiar with efficient training, post-training, fine-tuning, and inference techniques for large foundation models
You excel at explaining complex models and research findings to both technical and non-technical audiences
You have strong interest in open-science and open-source contributions, including establishing rigorous benchmarks and sharing research with the community

Preferred

You have a demonstrated ability to bridge cutting-edge research and real-world product applications, ideally with an emphasis on large foundation models, generative AI agents, or domain-specific LLM deployments
You're passionate about pushing the boundaries of AI while maintaining a strong focus on customer impact, scalability, and responsible deployment of new technologies
You have experience writing production data pipelines and applications
You have hands-on experience with GPU programming and optimization, including experience in CUDA

Benefits

Healthcare
Dental
Parental planning
Mental health benefits
A 401(k) plan and match
Paid time off
Fitness reimbursements
A discounted employee stock purchase plan

Company

Datadog is an observability and security platform that offers infrastructure, applications, software development, and monitoring services.

H1B Sponsorship

Datadog has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (123)
2024 (66)
2023 (45)
2022 (53)
2021 (31)
2020 (29)

Funding

Current Stage
Public Company
Total Funding
$1.02B
Key Investors
ICONIQ GrowthIndex VenturesOpenView
2024-12-09Post Ipo Debt· $870M
2020-05-28Post Ipo Debt
2019-09-19IPO

Leadership Team

leader-logo
Olivier Pomel
Co-founder, CEO
linkedin
leader-logo
Alexis Le-Quoc
Co-founder & CTO
linkedin
Company data provided by crunchbase