Intern - AI/ML

The interview process typically involves three rounds: a technical coding and ML concepts test, a system design/MLOps discussion with senior engineers, and a final HR round focusing on cultural fit and motivation. Questions often cover Python programming, statistical modeling, agentic AI frameworks, and real‑world trading scenarios. Preparation should include coding practice, ML project walkthroughs, and mock interviews to build confidence.

Tower Research Capital fosters a collaborative, data‑driven culture with low hierarchy and a focus on continuous learning. Employees enjoy a healthy work‑life balance, wellness programs, and opportunities to work on cutting‑edge technology in a global setting.

Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Data Science, or related field from a top university. Minimum 70% (or 7.0 CGPA) in the final year or equivalent. No backlogs allowed. Availability to join an in‑office internship for six months starting January 2027.

Round 1: Technical interview covering coding, ML concepts, and agentic AI fundamentals → Round 2: System design and MLOps discussion with senior engineers → Round 3: HR and cultural fit interview

Tower Research Capital is a leading global quantitative trading firm that blends cutting‑edge technology with sophisticated financial strategies. With a presence in major financial hubs worldwide, the company leverages high‑frequency trading, statistical arbitrage, and systematic research to generate alpha for its clients. Tower’s culture is built on collaboration, intellectual curiosity, and a relentless pursuit of excellence, allowing engineers and analysts to experiment, iterate, and learn in a fast‑paced environment. 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 that power trading strategies. The internship spans six months, starting January 2027, and requires on‑site presence in Gurgaon. Key responsibilities include: 1. Designing and implementing multi‑agent systems, orchestrating agents, and integrating with protocols such as Model Context Protocol (MCP). 2. Developing agentic coding tools (e.g., Claude Code) to accelerate development and automate workflows. 3. Building and training machine learning models using TensorFlow, PyTorch, or equivalent frameworks. 4. Deploying models to production with MLOps practices, monitoring performance, and maintaining model lifecycle. 5. Conducting experiments to evaluate model performance and fine‑tuning hyperparameters. 6. Collaborating with trading and engineering teams to translate business requirements into technical solutions. 7. Writing clean, well‑documented Python code and maintaining version control with Git. 8. Using Linux, SQL, and Bash scripting for data extraction, preprocessing, and deployment. 9. Participating in code reviews, knowledge sharing sessions, and continuous learning workshops. 10. Contributing to the company’s open‑source projects and internal tooling. Tech stack: Python, TensorFlow/PyTorch, Linux, SQL, Git, Bash, MLOps tools (MLflow, Kubeflow), agentic AI frameworks, Claude Code, MCP. Growth path: Interns who demonstrate strong technical acumen and cultural fit may be offered full‑time roles as Data Scientists, ML Engineers, or Research Scientists. The company provides mentorship, access to global conferences, and a clear promotion ladder. Why join Tower? The firm offers a collaborative environment where ideas are valued over ego, generous paid time off, wellness benefits, and a culture that rewards performance while maintaining work‑life balance. The internship provides hands‑on experience with real‑world trading systems, exposure to high‑frequency data, and the opportunity to work alongside world‑class engineers.