The Tower Research Capital Recruitment 2026 opens an exceptional opportunity. Tower Research Capital, a global leader in quantitative trading, is conducting an off campus drive to hire talented individuals for the Machine Learning Intern 2026 role. This internship is ideal for freshers, early-career researchers, and students who want to gain hands-on experience building cutting-edge ML and NLP systems in a real-world trading environment.
Tower Research Capital Recruitment 2026
| Category | Details |
|---|---|
| Company Name | Tower Research Capital |
| Job Role | Machine Learning Intern 2026 |
| Qualification | Bachelor’s/Master’s/PhD (ongoing or completed) |
| Experience | Prior ML model-building experience (TensorFlow/PyTorch) |
| Location | Gurgaon |
| Salary | Expected ₹60,000 – ₹1,00,000 per month |
| Internship Duration | 6 months (Jan/Feb 2026 start) |
Job Overview: Machine Learning Intern 2026
The Machine Learning Intern 2026 position at Tower Research Capital is a full-time, in-office internship based in Gurgaon. The internship duration is six months, beginning in January or February 2025. This role is part of Tower’s commitment to bringing fresh talent into the trading technology ecosystem as part of its ongoing campus recruitment strategy.
During the internship, candidates will work directly on data pipelines, LLM-based NLP models, and machine learning algorithms designed for real-time, high-impact trading applications. This opportunity is ideal for students pursuing a bachelor’s, master’s, or PhD degree from top engineering or science institutions.
Key Responsibilities
As a Machine Learning Intern, candidates will handle a variety of challenging and impactful tasks, including:
1. Building Advanced Data Pipelines
You will develop pipelines for collecting, cleaning, processing, and analyzing diverse datasets. These datasets form the backbone of trading models and research insights.
2. Designing ML and LLM-Based NLP Models
Interns will work on developing machine learning algorithms and natural language processing systems using modern large language models. This includes model design, experimentation, and evaluation.
3. Conducting Experiments to Test Model Performance
You will run experiments, benchmark results, measure efficiency, and iterate on model improvements.
4. Optimizing and Fine-Tuning Existing Models
This includes enhancing model performance using advanced tuning techniques, optimizing inference speed, and improving generalization across datasets.
Skills Required
To qualify for the Tower Research Capital off campus drive, candidates are expected to bring strong foundational and practical skills:
Educational Qualification
A bachelor’s, master’s, or PhD degree (ongoing or completed) from a top-tier university. The candidate must be available for a six-month in-office internship beginning early 2025.
Technical Skills
- Proven experience with TensorFlow, PyTorch, or similar ML frameworks
- Understanding of machine learning pipelines, model deployment, and MLOps
- Familiarity with CI/CD tools for automation
- Strong proficiency in Python
- Comfortable working with Linux, SQL, Git, and Bash scripting
Candidates with prior hands-on ML project experience will be considered strong applicants.
Why Join Tower Research Capital?
Tower Research Capital stands out for its culture of innovation, independence, and technical excellence. Interning at Tower comes with several advantages:
1. Exposure to Real-World ML in High-Impact Domains
You get the chance to work on production-level ML systems, helping support global trading operations.
2. Collaborative and High-Performance Environment
Tower offers an intellectually stimulating workplace filled with talented researchers, engineers, and analysts. The open culture encourages idea sharing without hierarchy or ego barriers.
3. Exceptional Workplace Benefits
Although benefits vary by region, interns can enjoy multiple perks including:
- Well-stocked kitchens with free meals and snacks
- Paid time off
- Hybrid working opportunities
- Wellness reimbursements
- Workshops and learning events
- Social gatherings, celebrations, and team activities
4. A Supportive Environment for Growth
Tower invests heavily in engineering talent, offering mentorship, continuous learning, and advanced resources for professional development.
Salary Details
The exact salary for the Machine Learning Intern 2026 role has not been disclosed publicly. However, Tower Research Capital is known for offering highly competitive compensation compared to other firms in the quantitative and financial technology domain. Internship stipends at Tower are typically among the top in the industry.
Hiring Location
The internship is based in Gurgaon, a major technology and business hub in India. Selected candidates will be required to work in-office throughout the six-month duration, gaining real-time exposure to Tower’s engineering environment.
How to Apply
Interested candidates can apply through the official Tower Research Capital careers page, where the Machine Learning Intern 2026 role is listed. Applicants should prepare the following:
- An updated resume highlighting ML experience
- Links to GitHub projects or research work
- A concise cover letter explaining your interest
- Academic details and availability
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Note: Since the internship is highly competitive, early application is recommended.
About Tower Research Capital
Founded in 1998, Tower Research Capital is one of the world’s most respected quantitative trading firms. The company has grown rapidly over the past 25+ years by building innovative, high-performance trading systems and maintaining independent, data-driven trading teams across the globe. Their platform is known for its unmatched speed, scalability, and reliability — crucial factors in global trading.
Tower is home to exceptional engineering and research talent, including experts in systematic trading, machine learning, FPGA development, hardware acceleration, and low-latency programming. The firm encourages innovation and gives engineers and portfolio managers the freedom to experiment, optimize, and shape strategies independently. With advanced market access, deep compute infrastructure, and world-class business support teams, Tower provides a thriving ecosystem for technical and analytical professionals.
