Quant jobs / Two Sigma

AI Research Scientist – Campus Full-Time

A research scientist role applying deep learning, large language models and reinforcement learning to noisy financial data. It is open to final-year PhDs and Master's students with work experience at a quantitative investment firm.

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.

Prototype deep learning models for alpha and trading tactics
Run experiments on cloud and multi-machine GPU setups
Turn research prototypes into production-ready code
Partner with teams across the firm to deploy ideas

What they ask for

Required

Final-year PhD, or Master's with work experience
Python
TensorFlow, PyTorch or JAX
Deep learning, LLM or reinforcement learning experience
Machine learning on large noisy datasets
Version control, testing and code review

Preferred

Rust, Java or C++
Research publications at major ML conferences
Open-source contributions

Education: Advanced degree in CS, engineering or another STEM field; PhD preferred, or Master's with work experience, in final year.
Experience: New graduates at final-year stage; Master's applicants need some work experience
Languages and tools: Python
Rust
Java
C++

How to prepare

Train and evaluate a deep model on a noisy time-series dataset with careful validation
Reproduce a recent ML paper in PyTorch or JAX
Study why financial data breaks standard ML assumptions: low signal, non-stationarity, leakage
Practise running multi-GPU experiments in the cloud
Learn reinforcement learning basics and sequence models

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.