Quant jobs / DRW

AI/ML Research Intern

A summer research internship in a team of technologists, quantitative researchers and traders at a principal trading firm. Projects may include forecasting or large language models.

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.

Train deep learning models for forecasting or related tasks
Improve data and data pipelines
Apply deep learning to time series and sensor data
Present results to the team

What they ask for

Required

Pursuing a master's or PhD in machine learning, deep learning or NLP
Deep learning, ML and statistics
Experience training large models
PyTorch, TensorFlow, Keras or scikit-learn
Python and scripting
Clear communication

Preferred

Software best practices such as version control and experiment tracking
Publications

Education: Current master's or PhD (PhD preferred) in machine learning, deep learning or NLP; graduating Dec 2027 to Jun 2028
Experience: Students; experience training large models expected
Languages and tools: Python
PyTorch
TensorFlow
Keras
scikit-learn

How to prepare

Train and track a deep learning forecaster with proper experiment logging
Write a clean ML project in PyTorch and publish on GitHub
Revise time series validation methods
Read about LLM fine-tuning basics

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 DRW’s site before applying: requirements, location and pay can change after we check them.

View the posting on DRW’s site ↗

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