Quant jobs / Two Sigma

AI Research Scientist – Intern [2027 Summer]

A roughly ten-week summer research internship applying deep learning, LLMs and reinforcement learning to financial data. It is open to PhDs and Master's students with work experience in their penultimate year.

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.

Own one research project guided by an experienced mentor
Write code and run machine learning experiments on noisy data
Build data pipelines for large datasets
Discuss approaches and results with the team

What they ask for

Required

Penultimate-year PhD, or Master's with work experience
Python
TensorFlow or PyTorch
Deep learning, LLM or reinforcement learning experience
Basic statistics
Cloud and multi-machine computing

Preferred

Data pipelines for noisy data
Publications at major ML conferences
Rust or Java

Education: Working towards a degree in CS, engineering or another STEM field; PhD preferred, or Master's with prior work experience.
Experience: Penultimate-year students; Master's applicants need some work experience
Languages and tools: Python
Rust
Java

How to prepare

Finish a small deep learning project on noisy time-series data and document the validation
Practise PyTorch or TensorFlow end to end including data loading
Build a simple data pipeline for a large dataset
Revise core statistics and overfitting
Read recent papers on LLMs or reinforcement learning

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

View the posting on Two Sigma’s site ↗

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