At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Paris
About Datadog
- Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
About the role
- As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work.
- You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events.
- This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team.
Responsibilities
- Lead research in foundation models, world models, and multimodal learning, setting the technical direction for ambitious research programs grounded in observability and security
- Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving
- Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities
- Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems
- Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities
- Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks
Requirements
- Hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling
- Demonstrated ability to lead technically ambitious research at meaningful scale
- Extensive hands-on experience designing, training, or evaluating large-scale deep learning models
- Track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements
- Operated at a senior technical level and have experience leading, mentoring, and developing teams of researchers or engineers, while remaining deeply hands-on in technical direction and execution
Preferred qualifications
- Experience in multimodal or non-text data
Benefits
- High income earning opportunities based on individual performance
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Sales training in MEDDIC and Command of the Message
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
- Giving programs
Workplace
- Operates as a hybrid workplace
Skills
- Machine Learning
- Foundation Models
- World Models
- Multimodal Learning
- Generative Modeling
- Deep Learning
- Large Language Models
