Senior Applied Scientist - AI Platform
Datadog · Dev Eng
- Location
- Paris, France
- Metro
- Paris
- Workplace
- Unspecified
- Level
- Senior
- Type
- Unspecified
- Posted
- 2 months ago
- Source
- Greenhouse
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What the posting covers
About the company
AI Platform builds the foundations of Datadog's AI efforts. The org is 70+ people organised in three pillars: training and serving (GPU clusters, distributed training, low-level infrastructure), agents (agent harnesses, memory systems, the internal AI gateway…
About the company
The team has no applied science support today and is learning post-training data methodology on the fly. That's the gap this role fills, and the open questions are the interesting part. How do you tell whether a generated environment is actually…
What You'll Do
Own the applied science direction for GenSim: set the methodology and the forward-looking technical calls on how simulated environments and post-training data should be built, on a team where that decision-making does not exist yet. Define, measure and raise…
Who You Are
You have a PhD, MS or equivalent research experience in a scientific field, with strong applied mathematics grounding. 6+ years of relevant applied science or ML engineering experience, including setting technical direction for others. You have hands-on…
Bonus Points
Hands-on LLM fine-tuning, post-training or model training experience. Background in statistics, experiment design and data analysis. Experience deploying production-level ML infrastructure. Observability or monitoring systems background. Architecture-level…
Benefits & Growth
New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture and the ability to…
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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