Requirements:

• Hold a PhD in Computer Science, Machine Learning, or related field
• Extensive experience in designing and implementing deep learning models
• Well-versed in distributed training frameworks and ML development libraries
• Demonstrated ability to bridge cutting-edge research with practical applications
• Passionate about pushing the boundaries of AI with real-world impact
• Familiar with efficient training techniques for large foundation models

Nice to Haves:

• Proven track record of impactful research with publications at top-tier conferences
• Hands-on experience with GPU programming and optimization
• Experience writing production data pipelines and applications

What You'll Be Doing:

• Conduct cutting-edge research in Generative AI and Machine Learning
• Contribute to large-scale distributed fine-tuning and training infrastructures
• Collaborate with cross-functional teams to integrate advanced AI capabilities
• Lead and contribute to research publications
• Participate in the journal club and mentor junior researchers

Perks and Benefits:

• Competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate across Datadog offices
• Opportunity to attend and present at conferences
• Intra-departmental mentor and buddy program
• Inclusive company culture and Community Guild memberships