AI Research Engineer - Datadog AI Research (DAIR)
Datadog · Dev Eng
- Location
- Paris, France
- Metro
- Paris
- Workplace
- Unspecified
- Level
- Unspecified
- Type
- Unspecified
- Posted
- 14 months ago
- Source
- Greenhouse
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What the posting covers
About the company
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…
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…
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…
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…
Benefits and Growth
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…
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…
About Datadog
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…
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