AI/ML Intern

Role Overview

Tower is home to some of the world's best systematic trading and engineering talent. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level, solving challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning.

Responsibilities

• Build and evaluate multi-agent systems, including agent orchestration, tool-calling, and integration with protocols and frameworks such as Model Context Protocol (MCP) and agent skills.
• Implement agentic coding tools, such as Claude Code, to accelerate development, automate workflows, and build internal tooling.
• Develop and implement statistical and machine learning algorithms and models to support business and technical requirements.
• Contribute to MLOps practices for deploying, monitoring, and maintaining machine learning models in production.
• Analyze 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 including agentic coding assistants such as Claude Code, building multi-agent systems, and integrating with protocols and frameworks such as 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 finance is a plus.

Skills

• Python
• PyTorch
• TensorFlow
• MLOps
• SQL

Benefits

• Generous paid time off policies
• Savings plans and other financial wellness tools
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• Wellness center access and reimbursement
• Company-sponsored sports and fitness events
• Volunteer opportunities and charitable giving
• Social events and celebrations
• Workshops and continuous learning opportunities