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The AI Researcher at Vatic Labs will develop AI-driven quantitative trading strategies. Responsibilities include analyzing market data and applying advanced AI technologies.

The engineer will develop low latency trading systems, optimize performance, and improve frameworks. Collaboration with traders and researchers is key.

As a Quantitative Developer, you will build algorithmic trading systems, working with AI research and enhancing productivity through innovative coding.

As a Systems Engineer, you will maintain and optimize infrastructure for low-latency trading systems, focusing on performance, stability, and automation in a collaborative environment.

The AI Engineer will design and develop innovative frameworks for trading and research, conducting large-scale experiments and collaborating with a team on foundational models and cloud platforms.

The AI Engineer will design frameworks for innovative ML platforms, conduct large-scale experiments, and collaborate with researchers while specializing in foundational models.

Develop and optimize ultra-low latency trading systems, collaborating with traders and researchers while focusing on performance and scalability.