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This position provides a structured training program for graduates to work on research projects, analyze datasets, and develop actionable strategies in a creative environment.

As a Machine Learning Researcher, you will design and deploy deep learning models for low-latency trading systems, conduct data analysis, and optimize model performance.

Lead capital allocation for a crypto portfolio, managing dynamic asset allocation and optimizing frameworks for risk budgeting and hedging strategies. Responsibilities include cross-asset research and monitoring risk across strategies.

Operate and automate large-scale Linux and hybrid cloud infrastructure, manage HPC clusters and storage, build containerized and CI/CD workflows, support on-call production incidents, and develop internal GenAI platform components (RAG, LangChain/Bedrock). Drive end-to-end subsystem ownership and documentation with strong autonomy and self-direction.

The Machine Learning Researcher will design and deploy deep learning models for trading systems, analyze data, and optimize model performance.