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Datadog

Senior Applied Scientist - AI Platform

Datadog · Paris, France

Posted 14 days ago

or apply directly on Datadog's site. We never take the application ourselves.

Is this posting real?

This role has been open
14 days
Datadog's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of Datadog's roles list one
Ghost-job risk at Datadog
low
0 stale, 32 reposted of 455 open
Hiring momentum
589 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Datadog's own greenhouse board since 2026-08-03. Full hiring picture for Datadog.

About this role

As a Senior Applied Scientist on the AI Platform at Datadog, you will lead the applied science direction for the GenSim team, focusing on building realistic simulated environments for agents. Your responsibilities include defining and measuring the quality of post-training data, closing the realism gap in simulations, and collaborating with cross-functional teams to ensure effective application of this data. This role requires a strong background in applied mathematics and extensive experience in LLMs and agent applications.

Our read on this posting3.6out of 5
benefits
4/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Datadog as an employer.

What you need

  • PhD, MS or equivalent research experience in a scientific field
  • 6+ years of relevant applied science or ML engineering experience
  • Hands-on experience with LLM and agent post-training data
  • Real domain expertise in LLMs and agentic applications
  • Experience evaluating agents or LLM applications
  • Strong programming skills, particularly in Python

Nice to have

  • 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 understanding of LLMs

What you get

  • 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 join our Community Guilds
  • Access to Inclusion Talks, our internal panel discussions
  • Free, global Spring Health benefits for employees and dependents age 6+

Worth weighing

  • The team currently has no applied science support, which may require you to establish methodologies from scratch.
  • The role involves navigating ambiguity and defining technical direction without existing frameworks.
  • The focus on building production-grade systems suggests a strong emphasis on reliability and scalability.

Summarised from Datadog's posting. Read the full original.

Listed by Datadog on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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