Research Engineer – Machine Learning Systems

Granica is focused on building Large Tabular Models for enterprise data. As a Research Engineer, you will bridge the gap between research and production by developing scalable machine learning systems that translate innovative ideas into practical applications.

Responsibilities:

• Build scalable training, evaluation, and inference pipelines for machine learning systems
• Implement and optimize algorithms for structured and tabular data
• Develop benchmarks, datasets, and evaluation frameworks for new research ideas
• Improve training efficiency, memory usage, and inference performance
• Prototype new ML systems and rapidly validate research ideas
• Collaborate closely with Prof. Andrea Montanari and Granica's research team to translate research into production systems