AI Research Scientist - Datadog AI Research (DAIR)

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Datadog The AI Research Scientist at Datadog AI Research (DAIR) conducts research in generative AI and machine learning to build specialized foundation models and trained agents for observability. The role involves collaborating with product and engineering teams to integrate research advances into Datadog products.

Responsibilities

Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
Design and build simulated environments and RL training loops for on-policy agent training and evaluation
Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog s products
Stay at the forefront of foundation models, world models, and RL-based agent research
Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Qualification

You hold a PhD in Computer Science

Required

You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
You are familiar with efficient training, post-training, and inference techniques for large foundation models
You can explain complex models and research findings to both technical and non-technical audiences

Preferred

Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
Experience writing production data pipelines and applications
Hands-on experience with GPU programming and optimization, including CUDA
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits

Dental
401(k)
PTO
Equity/RSU
Annual Bonus
Wellness

Company

Datadog

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5001-10000 employees

Observability

Founded 2010

Source: greenhouse

Active within the past hour

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