Intern - AI/ML

Round 1: Technical coding & agentic AI assessment → Round 2: Technical + MLOps & model evaluation → Round 3: HR & cultural fit

TRC fosters a collaborative, flat hierarchy where ideas are judged on merit. Employees enjoy a healthy work‑life balance with flexible hours, wellness programs, and a culture of continuous learning. Growth opportunities are abundant, with mentorship from senior engineers and exposure to global projects.

The interview process typically spans three rounds: a technical coding test focusing on data structures and algorithms, a second round covering machine learning concepts, MLOps, and agentic AI, followed by an HR round that assesses cultural fit and motivation. Candidates often find the technical rounds challenging but fair, with an emphasis on practical problem solving rather than theoretical depth.

Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Data Science, or related fields. Minimum 60% (or 6.5 CGPA) in the latest qualifying exam. No backlogs allowed. Availability to join an in‑office internship for six months starting January 2027.

Tower Research Capital (TRC) is a leading global quantitative trading firm that leverages cutting‑edge technology to execute high‑frequency trades across multiple asset classes. With its headquarters in the historic Equitable Building in New York City and a growing presence in major financial hubs worldwide, TRC is known for its rigorous engineering culture, deep focus on low‑latency systems, and a strong emphasis on research and innovation. The firm’s success is built on a blend of sophisticated trading strategies, advanced hardware acceleration, and a robust data infrastructure that powers real‑time decision making. The Intern – AI/ML role is designed for students who are passionate about artificial intelligence, machine learning, and agentic systems. Interns will work closely with senior data scientists and software engineers to build and evaluate multi‑agent frameworks, implement agentic coding tools such as Claude Code, and develop statistical models that support trading strategies. The internship offers hands‑on experience in deploying machine learning models to production, monitoring their performance, and fine‑tuning them for optimal results. Key responsibilities include: 1. Designing and building multi‑agent systems for trading and research. 2. Integrating agentic coding assistants and tool‑calling frameworks. 3. Developing machine learning models using TensorFlow, PyTorch, or similar. 4. Implementing MLOps pipelines for model deployment and monitoring. 5. Conducting experiments to evaluate model performance. 6. Collaborating with cross‑functional teams on data ingestion and feature engineering. 7. Writing clean, well‑documented Python code and maintaining version control. 8. Participating in code reviews and knowledge sharing sessions. 9. Troubleshooting production issues related to ML models. 10. Contributing to continuous improvement of the AI/ML infrastructure. Tech stack: Python, TensorFlow/PyTorch, Linux, SQL, Git, Bash, MLOps tools (MLflow, Docker, Kubernetes), agentic AI frameworks (Claude Code, Model Context Protocol). Growth path: Successful interns often transition into full‑time roles such as Machine Learning Engineer, Data Scientist, or Research Engineer. The firm encourages continuous learning, offers mentorship, and provides opportunities to work on high‑impact projects that influence global trading strategies. Why join TRC? The company offers a collaborative environment where ideas are valued over hierarchy, generous paid time off, wellness benefits, and a culture that balances high performance with a friendly workplace. Interns gain exposure to world‑class technology, real‑time trading systems, and a global network of top talent.