Tower Research Capital

Tower Research Capital

Posted via Greenhouse

Intern - AI/ML

Posted Sep 3, 2026

Role at a glance

Salary
Not Disclosed
Location
Gurgaon Gurgaon, Haryana, India
Work arrangement
Hybrid
Employment
Internship
Experience
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.
Education
A bachelor’s, master’s, or PhD degree (ongoing or completed), or equivalent qualification, from a top university

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Role Summary

AI-generated

The AI/ML intern works on agentic AI systems and machine learning models, joining an in-office internship for six months starting January 2027. The role also contributes to deploying, monitoring, and improving models.

What You'll Do

  • Build and evaluate multi-agent systems, including orchestration, tool-calling, and integration with protocols and frameworks such as MCP...
  • Implement agentic coding tools to accelerate development, automate workflows, and build internal tooling.
  • Develop and implement statistical and machine learning algorithms and models for business and technical requirements.
  • Contribute to MLOps practices for deploying, monitoring, and maintaining production models.
  • Analyze model performance through experiments and testing, and help optimize and fine-tune existing models.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

A bachelor’s, master’s, or PhD degree (ongoing or completed), or equivalent qualification, from a top university. Required expertise in modern agentic AI tooling, including coding assistants, multi-agent systems, and relevant protocols or frameworks; experience training, building, and deploying machine learning models; familiarity with MLOps; strong Python knowledge and hands-on Linux, SQL, Git, and Bash experience.

Preferred

  • A background in or experience with the finance domain

Original job description

Content provided by the employer

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. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance.

At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best.

At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.

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.

Qualifications

  • 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.

Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. 

At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win.

Our benefits include:

  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • Free breakfast, lunch, and snacks daily 
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) 
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Volunteer opportunities and charitable giving 
  • Social events, happy hours, treats, and celebrations throughout the year
  • Workshops and continuous learning opportunities

At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.

Tower Research Capital is an equal opportunity employer.



Tower Research Capital

About the company

Tower Research Capital

Large Enterprise

Tower Research Capital is a global financial services firm specializing in quantitative trading and technology-driven market making. Founded in 1998, the company leverages advanced mathematical models and cutting-edge technology to analyze market trends and execute trades across various asset classes. With a focus on innovation and efficiency, Tower Research Capital is committed to providing liquidity and enhancing market stability, often operating at the intersection of finance and technology. The firm fosters a collaborative environment that encourages talent development and embraces a diverse workforce, making it an ideal setting for aspiring finance professionals and tech enthusiasts alike.