AI Research Engineer - Datadog AI Research (DAIR)

Impactribe Ltd; Paris; Hybrid; EUR 120,000 - 150,000; Full time

Benefits offered by this job

RSUs

ESPP

Collaboration across Datadog offices

Conference participation

Mentor/buddy program

Job summary

Datadog is seeking an AI Research Engineer to join the DAIR team in Paris. You will partner with researchers to turn ideas into scalable systems, building data pipelines, tooling, and evaluation frameworks for multimodal world models and autonomous agents.

You will run large-scale experiments, optimize for reliability, cost, and performance, and contribute to publications and open-source artifacts. Collaboration with product and engineering will harden prototypes into production services.

Qualifications

• 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.
• Proficient in Python; systems language (Rust/C++/Go) advantageous.

Responsibilities

• 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 harden prototypes into reliable services.
• Contribute to research publications and open-source artifacts.

Skills

Distributed computing

RL Infra

ML systems

Python

Rust/C++/Go

PyTorch/JAX

Containerization

GPU acceleration

Megatron-LM/DeepSpeed

Communication

Tools

Ray

Slurm

Megatron-LM

Job description

AI Research Engineer - Datadog AI Research (DAIR)

Employment: full time

Paris, France

Job Description

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.

Research Areas

• 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.
• 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.

What You’ll Do

• 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

Who You Are

• 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

Bonus Points (any of the following)

• 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

Benefits and Growth

• 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 meetupsIntra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

About Datadog

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.

Equal Opportunity at Datadog

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.

Your Privacy

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s applicant and candidate privacy notice.

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