Quant jobs / Tower Research Capital

Machine Learning Intern

An internship on a trading firm's machine learning work, covering data pipelines and LLM-based language models. Postings are in French.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build pipelines to clean and process varied datasets
Implement machine learning and LLM-based NLP models
Run experiments to compare model performance
Help fine-tune existing models

What they ask for

Required

Hands-on model training and deployment with TensorFlow or PyTorch
CI/CD and MLOps familiarity
Linux, SQL, Git and Bash
Strong Python

Education: Bachelor's, master's or PhD, in progress or complete, or equivalent experience.
Experience: Students or recent graduates; practical model experience needed
Languages and tools: Python
SQL
Bash
Git

How to prepare

Fine-tune a small language model on a text task and evaluate it
Build a data-cleaning pipeline in Python
Learn MLOps basics such as CI/CD for models
Get comfortable with Linux, Git and SQL

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Tower Research Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Tower Research Capital’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Tower Research Capital and doesn’t handle applications.