Tower Research CapitalFound on the web

Posted today

Intern - AI/ML

Pay

Not stated

Location

Gurgaon

On site

Type

Internship

Skills this role screens for

Opens on Tower Research Capital's site. Sign in first and we keep it in your pipeline.

Responsibilities

What you'll do

  • Build and evaluate multi-agent systems, including orchestration, tool-calling, and integration.
  • Implement agentic coding tools like Claude Code to accelerate development and automate workflows.
  • Develop and implement statistical and machine learning algorithms and models.
  • Contribute to MLOps practices for deploying, monitoring, and maintaining machine learning models.
  • Analyze model performance through experiments and testing, and optimize existing models.

Requirements

What they're looking for

  • Expertise in modern agentic AI tooling (e.g., Claude Code, multi-agent systems, MCP integration).
  • Experience training, building, and deploying ML models using TensorFlow, PyTorch, or similar.
  • Familiarity with MLOps practices for model deployment and lifecycle management.
  • Strong knowledge of Python.
  • Hands-on experience using Linux, SQL, Git, and Bash scripting.
  • Availability to join an in-office internship for six months starting January 2027.

Qualifications

What you'll need

  • A bachelor’s, master’s, or PhD degree (ongoing or completed), or equivalent, from a top university.

Nice to have

What would help

  • A background in or experience with the finance domain.
Full description from 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

Found on the web. You apply on the company's own site

Where this listing comes from

From Tower Research Capital's own careers system (Greenhouse).

insiderOne never charges students to apply. Never pay anyone for an internship. Check an offer you received

Prove Python first

This role screens for Python. Sit a ten-minute live challenge, get a signed receipt, and the employer sees it verified on your application instead of claimed.

Prove it, then apply

Ask about this role

SCOUT, an AI agent, not a person, answers from this ad, and says so when the ad doesn't cover it. No account, and nothing you type here is kept.

More ai and machine learning roles

Every ai and machine learning role here

insiderOne University

Get certified for roles like this: AI Fundamentals Associate

Free, about 2 hours, ending in a project a person reviews and a certificate any employer can check. Put it on this application and every one after it.

Start the certification

Never pay to apply. A real internship does not charge registration, training or certificate fees. If anyone asks you to pay, tell us.

Interned at Tower Research Capital? Report what it paid

From the Wire Desk