AI Research Engineer - Datadog AI Research (DAIR)

Datadog

6 months ago

Paris, France

Mid Level / Senior

H1B Sponsor

Responsibilities

Build and operate datasets, training and evaluation pipelines, benchmarks, and internal tooling.
Implement models, run experiments at scale, and profile for reliability, performance, and cost.
Orchestrate distributed training and reinforcement learning with Ray, including scheduling, scaling, and failure recovery.
Make the research stack observable, reproducible, and easier to use.
Establish rigorous automated benchmarks and regression tests for various AI tasks.
Collaborate with Research Scientists, Product, and Engineering to integrate AI capabilities into Datadog’s products.
Contribute high-quality code, documentation, and open-source artifacts.

Strong software engineering skills with experience in observability, SRE, or security.
Depth in distributed computing and ML systems for training and inference at scale.
Proficient in Python and familiar with a systems language like Rust, C++, or Go.
Practical experience implementing and operating ML training and inference systems.
Familiarity with efficient training, fine-tuning, and inference techniques for large foundation models.
Ability to explain design and performance trade-offs to technical and non-technical audiences.
Strong interest in open-science and open-source contributions.

Competitive global benefits.
New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
Opportunity to collaborate closely with colleagues across Datadog offices in New York City and Paris.
Opportunity to attend and present at conferences and meetups.
Intra-departmental mentor and buddy program for networking.
An inclusive company culture with employee resource groups.

C++GoPythonPyTorchRust