Intern - AI/ML

Tower Research Capital is hiring for the role of Intern-AI/ML! Responsibilities of the Intern: • Building and evaluating multi-agent systems, including agent orchestration, tool-calling, and integration with protocols and frameworks such as Model Context Protocol (MCP) and agent skills. • Implementing agentic coding tools, such as Claude Code, to accelerate development, automate workflows, and build internal tooling. • Developing and implementing statistical and machine learning algorithms and models to support business and technical requirements. • Contributing to MLOps practices for deploying, monitoring, and maintaining machine learning models in production environments. • Analyzing model performance through experiments and testing, while contributing to the optimization and fine-tuning of existing models. Requirements: • A bachelor’s, master’s, or PhD degree (ongoing or completed), or equivalent qualification, from a top university, with availability to join an in-office internship for six months starting January 2027. • Expertise in modern agentic AI tooling is required, including agentic coding assistants such as Claude Code (or similar), building multi-agent systems, and integrating with protocols and frameworks such as Model Context Protocol (MCP) or agent skills. • Experience training, building, and deploying machine learning models using TensorFlow, PyTorch, or similar frameworks. • Familiarity with MLOps practices for model deployment, productionization, and lifecycle management. • Strong knowledge of Python, with hands-on experience using Linux, SQL, Git, and Bash scripting. • A background in or experience with the finance domain is a plus.