As an applied researcher on our team, you will contribute to groundbreaking research with direct product applications, pushing the boundaries of what's possible with Foundation Models and AI Agents.
Requirements
- PhD in Computer Science, Machine Learning, or a related field, with a strong focus on deep learning, reinforcement learning and natural language processing (or equivalent experience)
- Extensive experience in designing and implementing deep learning models, particularly in the NLP domain
- Well-versed in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML development libraries such as PyTorch and TensorFlow
- Ability to bridge the gap between cutting-edge research and practical product applications
- Familiarity with efficient training techniques for large foundation models and with model compression techniques
- Ability to elaborate complex models and ideas to non-technical personnel
Benefits
- Competitive global benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
- Opportunity to attend and present at conferences and meetups
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)