Tower Research Capital – Machine Learning Intern

Tower Research Capital – Machine Learning Intern 2026 (Gurgaon)

Tower Research Capital is inviting highly motivated students to join as Machine Learning Interns (2026 batch) at their Gurgaon office. This internship is ideal for students who want to work on high-performance systems, ML pipelines, NLP, LLMs, research engineering, and large-scale data processing.

This detailed post includes everything you need — job overview, responsibilities, skills, how to apply, salary estimates, resume guidance, interview prep, FAQs, company culture, and more.

About Tower Research Capital

Tower Research Capital is a globally recognized quantitative trading firm founded in 1998. Known for innovation and exceptional engineering talent, Tower specializes in:

• High-performance trading infrastructure
• Low-latency engineering
• Machine learning & AI research
• FPGA-based hardware acceleration
• Advanced data and compute platforms

Their collaborative, high-energy environment empowers engineers and researchers to push technological boundaries while working in small, independent teams with exceptional autonomy.

Job Overview

Category	Details
Role	Machine Learning Intern 2026
Company	Tower Research Capital
Location	Gurgaon — In-office
Internship Duration	3 or 6 Months (Jan/Feb 2025 Start)
Experience	Students / Freshers (0–1 year)
Education	Bachelor’s, Master’s, or PhD (ongoing or completed)
Functional Area	Machine Learning, NLP, Data Engineering, Research

Core Responsibilities

• Develop automated data pipelines for cleaning, processing, and analyzing large datasets.
• Design and implement ML and LLM-based NLP models.
• Conduct experiments to evaluate model performance and accuracy.
• Optimize, fine-tune, and improve existing machine learning models.
• Work with research engineers and senior ML scientists on real-world problem statements.
• Collaborate in an environment that relies heavily on speed, accuracy, and innovation.

Skills & Qualifications

• Bachelor’s, Master’s, or PhD from a top-tier institution (ongoing or completed).
• Hands-on experience with TensorFlow, PyTorch, or similar ML frameworks.
• Strong theoretical knowledge of ML, deep learning, and NLP/LLMs.
• Experience with CI/CD pipelines and MLOps tooling.
• Proficiency in Linux, SQL, Git, and Bash scripting.
• Excellent Python coding skills with real project exposure.
• Ability to analyze complex datasets and derive insights.

Company Culture & Work Environment

Tower Research fosters a highly collaborative, intellectually stimulating environment where top global talent work together to solve challenging problems. You’ll experience:

• Zero ego culture: ideas win based on merit, not seniority.
• World-class engineering exposure in ML, high-performance computing, and quant trading.
• Continuous learning: workshops, training, and expert-led sessions.
• Autonomy & ownership: interns often handle impactful projects.
• Friendly work environment: open workspaces, collaborative teams, and no hierarchy.

Salary Expectations (Estimate)

Tower Research typically offers competitive internship compensation. For ML Intern roles in Gurgaon, estimates based on industry standards are:

Category	Estimated Range
Monthly Stipend	₹60,000 – ₹1,20,000 (approx.)
Benefits	Meals, wellness perks, hybrid options, office amenities

(Note: Actual compensation may vary; Tower does not always disclose public salary ranges.)

How to Apply (Step-by-Step)

1. Open the official application link on Greenhouse.
2. Fill your name, email, phone number, and attach resume/CV.
3. Add cover letter (optional but recommended).
4. Enter academic details, publications, past internships, and links (GitHub, LinkedIn, Google Scholar).
5. Submit the form and wait for confirmation email.

Apply Here — Tower Research Capital ML Intern 2026

How to Prepare Your Resume for Tower ML Internship

Structure & Length

• Keep it to 1 page (PhD candidates may use 2 pages).
• Use clean sections: Skills, Projects, Publications, Internships, Achievements.

What to Include

• Skills: ML, DL, NLP/LLMs, Python, SQL, Linux, Git, CI/CD.
• ML Projects: Show measurable improvements, datasets used, models implemented.
• Research/Publication Links: Google Scholar, arXiv, GitHub repos.
• Internships: Highlight ML, automation, data science tasks.
• Achievements: Kaggle rankings, open-source contributions, hackathons.

ATS Keywords

Use keywords like: “PyTorch”, “TensorFlow”, “Linux”, “MLOps”, “LLM”, “NLP”, “data pipelines”, “model evaluation”, “Python”.

Interview Preparation — What to Expect

Tower Research typically takes 2–4 rounds depending on the profile. Expect:

Technical Topics

• ML fundamentals: loss functions, optimization, overfitting, regularization.
• Deep Learning: CNN, RNN, Transformers, embeddings.
• NLP/LLMs: tokenization, attention, fine-tuning.
• Coding in Python — writing clean, optimized code.
• Probability, statistics, linear algebra basics.
• Data pipeline design.

Sample Technical Questions

• Design a pipeline to train an LLM on noisy datasets.
• Explain how attention mechanism works.
• How to optimize a PyTorch model that is overfitting?
• Write a Python function to calculate F1-score manually.

Behavioral / HR

• Tell us about an ML project you led — challenges & outcomes.
• How do you debug a failing deep learning model?
• Why Tower? What excites you about quant/ML?

Previous Roles You May Like

• AI Research Intern – Quant Firms
• Deep Learning Intern – FinTech Startups
• Data Engineer Intern – High-frequency Trading
• Software Engineer Intern – Machine Learning Systems

Extra Tips for Applicants

• Build at least one strong end-to-end ML project.
• Show experience with PyTorch or TensorFlow — mandatory.
• Publish small research pieces or notebooks on GitHub.
• Prepare ML math: gradients, loss functions, activation functions.
• Practice coding on LeetCode (easy/medium) for Python fluency.

Selection Process (Overview)

Stage	Description
Application	Submit resume and details on Greenhouse.
Screening	Recruiters review academic and ML experience.
Technical Test	ML/DS coding or short assignment.
Interviews	Technical + ML + HR discussions.
Offer	Internship offer for 3 or 6 months.

FAQ

Is prior ML internship required?

Not mandatory, but hands-on ML project work is required.

Is the internship fully in-office?

Yes, Tower internships are in-office for collaboration and learning.

Can I apply without publications?

Yes — publications help but are not required.

Is this internship open to international students?

Yes, but check visa requirements specific to your region.

Final Thoughts

Tower Research Capital’s Machine Learning Internship is one of the most prestigious ML internships in India. If you want exposure to high-performance ML systems, LLMs, research engineering, and real-world data complexity — this is the perfect opportunity. Prepare well, highlight your ML experience, and apply confidently.

Apply Here — Tower Research Capital ML Intern 2026

Disclaimer

This is a human-written summary based on the Tower Research Capital internship listing. Always refer to the official Tower Research Capital careers page for the latest and most accurate information.