over 1 year ago
Paris, FranceSenior / Staff+
Responsibilities
- Conduct cutting-edge research in Generative AI and Machine Learning.
- Translate novel ideas into practical, high-impact product features.
- Leverage large-scale distributed fine-tuning and training infrastructures.
- Collaborate with cross-functional teams to integrate AI capabilities.
- Lead and contribute to research publications and present findings.
- Mentor junior researchers and engineers.
Requirements
- PhD in Computer Science, Machine Learning, or a related field.
- Extensive experience in designing and implementing deep learning models.
- Familiarity with distributed training frameworks like DeepSpeed and Megatron-LM.
- Ability to bridge research and practical product applications.
- Passion for pushing the boundaries of AI with real-world impact.
- Knowledge of efficient training and model compression techniques.
- Ability to explain complex models to non-technical personnel.
Benefits
- Competitive global benefits.
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Opportunity to collaborate with colleagues in New York City and Paris.
- Opportunity to attend and present at conferences and meetups.
- Intra-departmental mentor and buddy program for networking.
- Inclusive company culture with Community Guilds.
Tech Stack
PyTorchTensorFlow
Categories
Data Science
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.