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This program offers women in their second year of study an immersive three-day experience in high-frequency trading, including hands-on sessions, mentorship from traders and software engineers, and preparation for potential summer internships. Participants will learn trading fundamentals through interactive activities and gain exposure to various roles in trading and technology.

The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.

Design, develop, and implement trading strategies, optimize algorithms, and collaborate with quant researchers and traders. Conduct research and back test strategies while staying updated on industry advancements.