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Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Conduct research and develop algorithms for structured AI models, focusing on efficient data representation, learning, and optimization for enterprise applications. Collaborate with teams to transform theoretical models into practical systems.

Lead finance strategy including capital raising, forecasting, performance modeling, and risk management to support company’s growth and IPO readiness.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Design and implement algorithms for data optimization at scale, creating efficient systems for data processing and cost reduction.

As a Lakehouse Core Engineer, you'll enhance data systems, optimize storage and compute, develop ACID transactions, and improve query performance, focusing on petabyte-scale efficiency.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The People Operations Manager at Granica will develop and manage HR systems and employee experience as the company scales, ensuring compliance and reinforcing company culture.