7 часов назад
AI Research Scientist - Datadog AI Research (DAIR)
320 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Research Scientist - Datadog AI Research (DAIR) (Generative AI and Machine Learning): Building multimodal foundation models, world models, and autonomous agents for cloud observability and security with an accent on distributed training, telemetry modeling, and reinforcement learning. Focus on designing simulated environments and RL training loops, integrating research into Datadog products, and advancing efficient training and evaluation of large foundation models.
Location: New York, New York, USA
Salary: $320,000–$400,000 USD per year, plus equity and potential variable compensation
Company
Datadog is a global SaaS business providing cloud observability, infrastructure monitoring, and security solutions.
What you will do
- Conduct research in generative AI and machine learning to build specialized foundation models and trained agents for observability.
- Train multimodal models on large-scale telemetry data, including 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 teams to integrate world modeling and autonomous-agent capabilities into Datadog products.
- Advance research in foundation models, world models, and reinforcement learning-based agents.
- Publish research, present at leading conferences, and contribute model artifacts and benchmarks to open source.
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 such as PyTorch.
- Impactful publications at top-tier venues such as NeurIPS, ICLR, ICML, or TMLR.
- Familiarity with efficient training, post-training, and inference techniques for large foundation models, plus the ability to communicate 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 experience, including CUDA.
Culture & Benefits
- Competitive benefits, including healthcare, dental, parental planning, mental health support, paid time off, and fitness reimbursement.
- New-hire stock equity, an employee stock purchase plan, and a 401(k) plan with company match.
- Collaboration opportunities with colleagues across Datadog offices in New York City and Paris.
- Conference and meetup attendance and presentation opportunities.
- Mentor and buddy programs, employee resource groups, and an inclusive company culture.
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