Intern - AI/ML

Role Overview

Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. 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

• 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.

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
• In-office wellness experiences and reimbursement
• Company-sponsored sports teams and fitness events
• Volunteer opportunities and charitable giving
• Social events, happy hours, treats, and celebrations
• Workshops and continuous learning opportunities