Datadog
Staff Research Scientist - Foundation & World Models
New York, New York, USA; Pittsburgh, Pennsylvania, USA. Posted a month ago
The role
You will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across telemetry data like metrics, traces, and logs.
What you will do
- Drive research in foundation models, world models, and multimodal learning
- Own research problems from framing to experimentation, development, and evaluation
- Train large-scale multimodal models on diverse telemetry data
- Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation
- Raise the technical bar by reviewing research directions and mentoring researchers and engineers
- Collaborate with Research, Product, and Engineering teams to translate research into capabilities
- Contribute to research publications and present at conferences
- Help open-source key model artifacts and benchmarks
Required qualifications
- PhD in Computer Science, Machine Learning, or a related field, or equivalent experience
- Deep expertise in foundation models, world models, multimodal learning, or generative modeling
- Experience driving technically ambitious research at meaningful scale as an individual contributor
- Extensive hands-on experience designing, training, and evaluating large-scale deep learning models
- Track record of research impact through publications, model contributions, or research artifacts
- Ability to set technical direction through influence
- Experience mentoring other researchers or engineers
- Ability to communicate complex research findings effectively
Nice to have
- Experience in multimodal or non-text data
Benefits
- Healthcare
- Dental
- Parental planning
- Mental health benefits
- 401(k) plan and match
- Paid time off
- Fitness reimbursements
- Discounted employee stock purchase plan
About the company
Datadog is a global SaaS business and the leading observability and security platform for the AI era. It provides unified visibility across the technology stack to manage complexity at scale.