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 solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog

AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems

across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause

analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.

2. Trained Agents for Observability-- Post-training models to operate autonomously across Datadog's domain. SRE incident response

is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the

simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass

frontier models at a fraction of the cost.

• 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

• Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code,

documentation, and open-source artifacts

• You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray,

Slurm, or similar frameworks is a plus

• You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and

data infrastructure

• You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including

containerization, orchestration, and GPU acceleration

• You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM,

DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization,

speculative decoding)

• You can explain design and performance trade-offs clearly to both technical and non-technical audiences
• You have experience supporting or contributing to research publications

• You have strong software engineering skills with experience in domains such as observability, SRE, or security
• You have experience bridging research prototypes and real-world product applications, especially with large foundation models,

world models, or RL-trained agents

• You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• You have hands-on experience with GPU programming and optimization, including CUDA
• You have experience writing production data pipelines and applications
• You have experience building simulation or sandbox environments for agent training

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's

okay. If you’re passionate about technology and want to grow your skills, we encourage you to 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)

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission

to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure

monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all

sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and

work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful

people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife

on Instagram, LinkedIn, and Datadog Learning Center.

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone

regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status,

disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories,

consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and

Candidate Privacy Notice.

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the

technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place,

using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI

leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram,

LinkedIn, and Datadog Learning Center.

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national

origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other

characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal

requirements. Here are our Candidate Legal Notices for your reference.

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our website or need assistance completing the application process, please complete this form. This form is for accommodation

requests only and cannot be used to inquire about the status of applications.

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and

Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.