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Описание вакансии
Текст:
TL;DR
AI Research Scientist (Generative AI): Conducting fundamental research and building multimodal foundation models and trained agents for cloud observability and security with an accent on world models, reinforcement learning, and distributed training. Focus on designing simulated environments, training autonomous incident-response agents, integrating research into products, and advancing foundation-model capabilities.
Location: Paris, France; hybrid work indicated.
Company
Datadog is a global SaaS company building cloud observability and security products for monitoring customers’ technology stacks.
What you will do
- Conduct research in generative AI and machine learning, developing specialized foundation models and trained agents for observability.
- Train multimodal models on metrics, logs, traces, topology, and events using distributed training infrastructure.
- Design simulated environments, reinforcement-learning loops, and evaluation infrastructure for autonomous agents.
- Collaborate with Product and Engineering to integrate world modeling and autonomous-agent capabilities into products.
- Advance research in foundation models, world models, and RL-based agents.
- Publish research, present at top-tier conferences, and open-source selected model artifacts and benchmarks.
Requirements
- PhD in Computer Science, Machine Learning, or a related field, or equivalent experience.
- Deep expertise in generative modeling, world models, AI agents, reinforcement learning, or multimodal learning.
- Extensive experience designing and implementing deep learning models and agents.
- Strong background in distributed training frameworks such as DeepSpeed or Megatron-LM and ML libraries including PyTorch.
- Impactful publications at venues such as NeurIPS, ICLR, ICML, or TMLR.
- Knowledge of efficient training, post-training, and inference techniques for large foundation models, plus the ability to explain complex research to technical and non-technical audiences.
Nice to have
- Experience connecting AI research with real-world product applications and scalable deployment.
- Experience writing production data pipelines and applications.
- Hands-on GPU programming and optimization, including CUDA.
Culture & Benefits
- Competitive global benefits that vary by country of employment and employment type.
- New-hire stock equity through RSUs and an employee stock purchase plan.
- Collaboration with colleagues across Datadog offices in New York City and Paris.
- Opportunities to attend and present at conferences and meetups.
- Mentor and buddy programs, employee resource groups, and an inclusive company culture.
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