Opportunity Description
Join a leading role in ML as a Senior Machine Learning Engineer to develop cutting-edge graph and transformer-based systems. Drive scalable modeling and infrastructure solutions for structured data.
In this position, you will lead the creation of advanced ML pipelines and foundational models for relational and graph datasets. Your expertise will bridge research and engineering, ensuring that innovations are robust and production-ready. As a senior member, you will mentor engineers, define technical roadmaps, and collaborate with cross-functional teams to enhance delivery impact.
Key Responsibilities:
• Architect scalable solutions for relational and graph data
• Design high-performance data pipelines
• Establish experimentation and deployment best practices
• Develop GNNs and Graph Transformers
• Mentor ML engineers and applied scientists
Requirements:
• PhD or MS in relevant field with practical experience
• 5+ years delivering end-to-end ML s...
In this position, you will lead the creation of advanced ML pipelines and foundational models for relational and graph datasets. Your expertise will bridge research and engineering, ensuring that innovations are robust and production-ready. As a senior member, you will mentor engineers, define technical roadmaps, and collaborate with cross-functional teams to enhance delivery impact.
Key Responsibilities:
• Architect scalable solutions for relational and graph data
• Design high-performance data pipelines
• Establish experimentation and deployment best practices
• Develop GNNs and Graph Transformers
• Mentor ML engineers and applied scientists
Requirements:
• PhD or MS in relevant field with practical experience
• 5+ years delivering end-to-end ML s...
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